Entering edit mode
Bioconductors:
We are pleased to announce Bioconductor 2.14, consisting of 824
software packages, 200 experiment data packages, and more than 860
up-to-date annotation packages.
There are 77 new software packages, and many updates and improvements
to existing packages; Bioconductor 2.14 is compatible with R 3.1.0,
and is supported on Linux, 32- and 64-bit Windows, and Mac OS X. This
release includes an updated Bioconductor [Amazon Machine Image]
(http://bioconductor.org/help/bioconductor-cloud-ami/).
Visit [http://bioconductor.org](http://bioconductor.org)
for details and downloads.
Contents
--------
* Getting Started with Bioconductor 2.14
* New Software Packages
* NEWS from new and existing packages
* Packages removed from the release
Getting Started with Bioconductor 2.14
======================================
To update to or install Bioconductor 2.14:
1. Install R 3.1.0. Bioconductor 2.14 has been designed expressly
for this version of R.
2. Follow the instructions at
[http://bioconductor.org/install/](http://bioconductor.org/install/).
New Software Packages
=====================
There are 77 new packages in this release of Bioconductor.
ABSSeq - Inferring differential expression genes by absolute
expression differences between two groups, utilizing
generalized Poisson model to account for over-dispersion across
samples and heterogeneity of differential expression across
genes.
alsace - Alternating Least Squares (or Multivariate Curve
Resolution) for analytical chemical data, in particular
hyphenated data where the first direction is a retention time
axis, and the second a spectral axis. Package builds on the
basic als function from the ALS package and adds functionality
for high-throughput analysis, including definition of time
windows, clustering of profiles, retention time correction,
etcetera.
asmn - Performs all sample mean normalization using raw data
output from BeadStudio and MethyLumiM data.
ASSIGN - ASSIGN is a computational tool to evaluate the pathway
deregulation/activation status in individual patient samples.
ASSIGN employs a flexible Bayesian factor analysis approach
that adapts predetermined pathway signatures derived either
from knowledge-based literatures or from perturbation
experiments to the cell-/tissue-specific pathway signatures.
The deregulation/activation level of each context-specific
pathway is quantified to a score, which represents the extent
to which a patient sample encompasses the pathway
deregulation/activation signature.
AtlasRDF - Query the Gene Expression Atlas RDF data at the European
Bioinformatics Institute using genes, experimental factors (such as
disease, cell type, compound treatments), pathways and proteins. Also
contains a function to perform an enrichment of your gene list across
Experimental Factor Ontology (EFO) using the Atlas background set.
Basic4Cseq - Basic4Cseq is an R/Bioconductor package for basic
filtering, analysis and subsequent visualization of 4C-seq
data. Virtual fragment libraries can be created for any
BSGenome package, and filter functions for both reads and
fragments and basic quality controls are included. Fragment
data in the vicinity of the experiment's viewpoint can be
visualized as a coverage plot based on a running median
approach and a multi-scale contact profile.
BEAT - Model-based analysis of single-cell methylation data
BiocCheck - Bioconductor-specific package checks
biosvd - The biosvd package contains functions to reduce the input
data set from the feature x assay space to the reduced diagonalized
eigenfeature x eigenassay space, with the eigenfeatures and
eigenassays unique orthonormal superpositions of the features and
assays, respectively. Results of SVD applied to the data can
subsequently be inspected based on generated graphs, such as a heatmap
of the eigenfeature x assay matrix and a bar plot with the
eigenexpression fractions of all eigenfeatures. These graphs aid in
deciding which eigenfeatures and eigenassays to filter out (i.e.,
eigenfeatures representing steady state, noise, or experimental
artifacts; or when applied to the variance in the data, eigenfeatures
representing steady-scale variance). After possible removal of steady
state expression, steady-scale variance, noise and experimental
artifacts, and after re-applying SVD to the normalized data, a summary
html report of the eigensystem is generated, containing among others
polar plots of the assays and features, a table with the list of
features sortable according to their coordinates, radius and phase in
the polar plot, and a visualization of the data sorted according to
the two selected eigenfeatures and eigenassays with colored
feature/assay annotation information when provided. This gives a
global picture of the dynamics of expression/intensity levels, in
which individual features and assays are classified in groups of
similar regulation and function or similar cellular state and
biological phenotype.
CAFE - Detection and visualizations of gross chromosomal
aberrations using Affymetrix expression microarrays as input
ccrepe - The CCREPE (Compositionality Corrected by REnormalizaion and
PErmutation) package is designed to assess the significance of general
similarity measures in compositional datasets. In microbial abundance
data, for example, the total abundances of all microbes sum to one;
CCREPE is designed to take this constraint into account when assigning
p-values to similarity measures between the microbes. The package has
two functions: ccrepe: Calculates similarity measures, p-values and
q-values for relative abundances of bugs in one or two body sites
using bootstrap and permutation matrices of the data. nc.score:
Calculates species-level co-variation and co-exclusion patterns based
on an extension of the checkerboard score to ordinal data.
ChIPQC - Quality metrics for ChIPseq data
ChIPseeker - This package implements functions to retrieve the
nearest genes around the peak, annotate genomic region of the peak.
Visualization functions are implemented to summarize genomic
annotation, distance to TSS, and overlap of peaks or genes.
Clomial - Clomial fits binomial distributions to counts obtained
from Next Gen Sequencing data of multiple samples of the same
tumor. The trained parameters can be interpreted to infer the
clonal structure of the tumor.
CNEr - Large-scale identification and advanced visualization of sets
of conserved noncoding elements.
COHCAP - This package provides a pipeline to analyze
single-nucleotide resolution methylation data (Illumina 450k
methylation array, targeted BS-Seq, etc.). It provides QC
metrics, differential methylation for CpG Sites, differential
methylation for CpG Islands, integration with gene expression
data, and visualization of methylation values.
COMPASS - COMPASS is a statistical framework that enables unbiased
analysis of antigen-specific T-cell subsets. COMPASS uses a Bayesian
hierarchical framework to model all observed cell-subsets and select
the most likely to be antigen-specific while regularizing the small
cell counts that often arise in multi-parameter space. The model
provides a posterior probability of specificity for each cell subset
and each sample, which can be used to profile a subject's immune
response to external stimuli such as infection or vaccination.
compcodeR - This package provides extensive functionality for
comparing results obtained by different methods for differential
expression analysis of RNAseq data. It also contains functions for
simulating count data and interfaces to several packages for
performing the differential expression analysis.
CompGO - This package contains functions to accomplish several
tasks. It is able to download full genome databases from UCSC,
import .bed files easily, annotate these .bed file regions with
genes (plus distance) from aforementioned database dumps,
interface with DAVID to create functional annotation and gene
ontology enrichment charts based on gene lists (such as those
generated from input .bed files) and finally visualise and
compare these enrichments using either directed acyclic graphs
or scatterplots.
COPDSexualDimorphism - Sexual dimoprhic and COPD differential (SDCD)
analysis contrasts regression coefficients from two stratified
analysis. Stratification can be done in two ways: by COPD status or by
sex. For COPD-stratified analysis, SDCD analysis contrasts sexual
dimorphism between cases and controls, while sex-stratified SDCD
analsysis contrasts COPD differential expression pattern between males
and females. The package is meant to be used in conjunction with the
package limma.
CopyNumber450k - This package contains a set of functions that allow
CNV calling from Illumina 450k methylation microarrays.
CoverageView - This package provides a framework for the visualization
of genome coverage profiles. It can be used for ChIP-seq experiments,
but it can be also used for genome-wide nucleosome positioning
experiments or other experiment types where it is important to have a
framework in order to inspect how the coverage distributed across the
genome
CRISPRseek - The package includes functions to find potential guide
RNAs for input target sequences, optionally filter guide RNAs without
restriction enzyme cut site, or without paired guide RNAs, genome-wide
search for off-targets, score, rank, fetch flank sequence and indicate
whether the target and off-targets are located in exon region or not.
Potential guide RNAs are annotated with total score of the top5 and
topN off-targets, detailed topN mismatch sites, restriction enzyme cut
sites, and paired guide RNAs. This package leverages Biostrings and
BSgenome packages.
DMRcate - De novo identification and extraction of differentially
methylated regions (DMRs) in the human genome using Illumina Infinium
HumanMethylation450 BeadChip array data. Provides functionality for
filtering probes possibly confounded by SNPs and cross-hybridisation.
Includes bedGraph and plotting functions.
DMRforPairs - DMRforPairs allows researchers to compare n>=2 unique
samples with regard to their methylation profile. The (pairwise)
comparison of n unique single samples distinguishes DMRforPairs from
other existing pipelines as these often compare groups of samples in
either single CpG locus or region based analysis. DMRforPairs defines
regions of interest as genomic ranges with sufficient probes located
in close proximity to each other. Probes in one region are optionally
annotated to the same functional class(es). Differential methylation
is evaluated by comparing the methylation values within each region
between individual samples and (if the difference is sufficiently
large), testing this difference formally for statistical significance.
dualKS - This package implements a Kolmogorov Smirnov rank-sum based
algorithm for training (i.e. discriminant analysis--identification
of genes that discriminate between classes) and classification
of gene expression data sets. One of the chief strengths of
this approach is that it is amenable to the "multiclass" problem.
That is, it can discriminate between more than 2 classes.
EDDA - EDDA can aid in the design of a range of common experiments
such as RNA-seq, Nanostring assays, RIP-seq and Metagenomic
sequencing, and enables researchers to comprehensively investigate the
impact of experimental decisions on the ability to detect differential
abundance.
ELBOW - Elbow an improved fold change test that uses cluster
analysis and pattern recognition to set cut off limits that are
derived directly from intrareplicate variance without assuming
a normal distribution for as few as 2 biological replicates.
Elbow also provides the same consistency as fold testing in
cross platform analysis. Elbow has lower false positive and
false negative rates than standard fold testing when both are
evaluated using T testing and Statistical Analysis of
Microarray using 12 replicates (six replicates each for initial
and final conditions). Elbow provides a null value based on
initial condition replicates and gives error bounds for results
to allow better evaluation of significance.
fastLiquidAssociation - This package extends the function of the
LiquidAssociation package for genome-wide application. It integrates a
screening method into the LA analysis to reduce the number of triplets
to be examined for a high LA value and provides code for use in
subsequent significance analyses.
flowBin - Software to combine flow cytometry data that has been
multiplexed into multiple tubes with common markers between them, by
establishing common bins across tubes in terms of the common markers,
then determining expression within each tube for each bin in terms of
the tube-specific markers.
flowCL - Semantic labelling of flow cytometric cell populations.
flowCyBar - A package to analyze flow cytometric data using gate
information to follow population/community dynamics
flowMatch - Matching cell populations and building meta-clusters and
templates from a collection of FC samples.
FRGEpistasis - A Tool for Epistasis Analysis Based on Functional
Regression Model
gaucho - Use genetic algorithms to determine the relationship
between clones in heterogenous populations such as cancer
sequencing samples
GeneOverlap - Test two sets of gene lists and visualize the results.
geneRxCluster - Detect Differential Clustering of Genomic Sites such
as gene therapy integrations. The package provides some functions for
exploring genomic insertion sites originating from two different
sources. Possibly, the two sources are two different gene therapy
vectors. Vectors are preferred that target sensitive regions less
frequently, motivating the search for localized clusters of insertions
and comparison of the clusters formed by integration of different
vectors. Scan statistics allow the discovery of spatial differences
in clustering and calculation of False Discovery Rates (FDRs)
providing statistical methods for comparing retroviral vectors. A scan
statistic for comparing two vectors using multiple window widths to
detect clustering differentials and compute FDRs is implemented here.
GenomeInfoDb - Contains data and functions that define and allow
translation between different chromosome sequence naming conventions
(e.g., "chr1" versus "1"), including a function that attempts to place
sequence names in their natural, rather than lexicographic, order.
GenomicAlignments - Provides efficient containers for storing and
manipulating short genomic alignments (typically obtained by aligning
short reads to a reference genome). This includes read counting,
computing the coverage, junction detection, and working with the
nucleotide content of the alignments.
GenomicFiles - This package provides infrastructure for parallel
queries distributed 'by file' or 'by range'. User defined
map and reduce functions provide added flexibility for
data combination and manipulation.
GOTHiC - This is a Hi-C analysis package using a cumulative
binomial test to detect interactions between distal genomic
loci that have significantly more reads than expected by chance
in Hi-C experiments. It takes mapped paired NGS reads as input
and gives back the list of significant interactions for a given
bin size in the genome.
GSCA - GSCA takes as input several lists of activated and
repressed genes. GSCA then searches through a compendium of
publicly available gene expression profiles for biological
contexts that are enriched with a specified pattern of gene
expression. GSCA provides both traditional R functions and
interactive, user-friendly user interface.
iClusterPlus - Integrative clustering of multiple genomic data using a
joint latent variable model
INPower - An R package for computing the number of susceptibility
SNPs and power of future studies
massiR - Predicts the sex of samples in gene expression microarray
datasets
MeSHDbi - The package is unified implementation of MeSH.db,
MeSH.AOR.db, and MeSH.PCR.db and also is interface to construct Gene-
MeSH package (org.MeSH.XXX.db). loadMeSHDbiPkg import sqlite file and
generate org.MeSH.XXX.db.
meshr - A set of annotation maps describing the entire MeSH assembled
using data from MeSH
messina - Messina is a collection of algorithms for constructing
optimally robust single-gene classifiers, and for identifying
differential expression in the presence of outliers or unknown
sample subgroups. The methods have application in identifying
lead features to develop into clinical tests (both diagnostic
and prognostic), and in identifying differential expression
when a fraction of samples show unusual patterns of expression.
metaMS - MS-based metabolomics data processing and compound
annotation pipeline.
metaseqR - Provides an interface to several normalization and
statistical testing packages for RNA-Seq gene expression data.
Additionally, it creates several diagnostic plots, performs
meta-analysis by combinining the results of several statistical
tests and reports the results in an interactive way.
MIMOSA - Modeling count data using Dirichlet-multinomial and beta-
binomial mixtures with applications to single-cell assays.
Mirsynergy - Detect synergistic miRNA regulatory modules by
overlapping neighbourhood expansion.
MLSeq - This package applies several machine learning methods,
including
SVM, bagSVM, Random Forest and CART, to RNA-Seq data.
mmnet - This package gives the implementations microbiome
metabolic network constructing and analyzing. It introduces a
unique metagenomic systems biology approach, mapping
metagenomic data to the KEGG global metabolic pathway and
constructing a systems-level network. The system-level network
and the next topological analysis will be of great help to
analysis the various functional properties, including
regulation and metabolic functionality of the metagenome.
NetPathMiner - NetPathMiner is a general framework for network path
mining using genome-scale networks. It constructs networks from
KGML, SBML and BioPAX files, providing three network
representations, metabolic, reaction and gene representations.
NetPathMiner finds active paths and applies machine learning
methods to summarize found paths for easy interpretation. It
also provides static and interactive visualizations of networks
and paths to aid manual investigation.
nondetects - Methods to model and impute non-detects in the results of
qPCR experiments.
npGSEA - Current gene set enrichment methods rely upon permutations
for inference. These approaches are computationally expensive and
have minimum achievable p-values based on the number of permutations,
not on the actual observed statistics. We have derived three
parametric approximations to the permutation distributions of two gene
set enrichment test statistics. We are able to reduce the
computational burden and granularity issues of permutation testing
with our method, which is implemented in this package. npGSEA
calculates gene set enrichment statistics and p-values without the
computational cost of permutations. It is applicable in settings
where one or many gene sets are of interest. There are also built-in
plotting functions to help users visualize results.
PECA - Calculates Probe-level Expression Change Averages (PECA) to
identify differential expression in Affymetrix gene expression
microarray studies or in proteomic studies using peptide-level
mesurements respectively.
PhenStat - Package contains methods for statistical analysis of
phenotypic data such as Mixed Models and Fisher Exact Test.
QDNAseq - Quantitative DNA sequencing for chromosomal aberrations.
Rariant - The 'Rariant' package identifies single nucleotide variants
from sequencing data based on the difference of binomially distributed
mismatch rates between matched samples.
Rcpi - The Rcpi package offers an R/Bioconductor package
emphasizing the comprehensive integration of bioinformatics and
chemoinformatics into a molecular informatics platform for drug
discovery.
RefNet - Molecular interactions with metadata, some archived, some
dynamically obtained
roar - Identify preferential usage of APA sites, comparing two
biological conditions, starting from known alternative sites
and alignments obtained from standard RNA-seq experiments.
rpx - This package implements an interface to proteomics
data submitted to the ProteomeXchange consortium.
sangerseqR - This package contains several tools for analyzing Sanger
Sequencing data files in R, including reading .scf and .ab1
files, making basecalls and plotting chromatograms.
sapFinder - sapFinder is developed to automate (1)
variation-associated database construction, (2) database searching,
(3) post-processing, (4) HTML-based report generation in shotgun
proteomics.
savR - Parse Illumina Sequence Analysis Viewer (SAV) files,
access data, and generate QC plots.
scsR - Corrects genome-wide siRNA screens for seed mediated
off-target effect. Suitable functions to identify the effective
seeds/miRNAs and to visualize their effect are also provided in
the package.
SomaticSignatures - The SomaticSignatures package identifies
mutational signatures of single nucleotide variants (SNVs).
Sushi - Flexible, quantitative, and integrative genomic
visualizations for publication-quality multi-panel figures
TitanCNA - Hidden Markov model to segment and predict regions of
subclonal copy number alterations (CNA) and loss of
heterozygosity (LOH), and estimate cellular prevalenece of
clonal clusters in tumour whole genome sequencing data.
trackViewer - plot ChIP-seq, RNA-seq, miRNA-seq, DNA-seq and etc NGS
sequence data, especially for big files.
UNDO - UNDO is an R package for unsupervised deconvolution of
tumor and stromal mixed expression data. It detects marker
genes and deconvolutes the mixing expression data without any
prior knowledge.
unifiedWMWqPCR - This packages implements the unified Wilcoxon-Mann-
Whitney Test for qPCR data. This modified test allows for testing
differential expression in qPCR data.
VariantFiltering - Filter genetic variants using different criteria
such as inheritance model, amino acid change consequence, minimum
allele frequencies across human populations, splice site strength,
conservation, etc.
viper - Inference of protein activity from gene expression data,
including the VIPER and msVIPER algorithms
NEWS from new and existing packages
===================================
Package maintainers can add NEWS files describing changes to their
packages. The following package NEWS is available:
ADaCGH2
-------
Changes in version 2.3.10 (2013-12-27):
- Minor changes to main vignette with a new section "Why ADaCGH2
instead of a manual solution".
- Change in NAMESPACE to adapt to changes in ffbase or bit (we were
getting warnings of "replacing
previous import by ffbase::[.ff when loading ADaCGH2"")
Changes in version 2.3.9 (2013-11-28):
- Minor changes to "benchmarks.pdf": consistent usage of lty and pch
for figures of reading and
analysis.
Changes in version 2.3.8 (2013-11-26):
- Minor changes to "benchmarks.pdf".
Changes in version 2.3.7 (2013-11-26):
- Minor changes to "benchmarks.pdf".
Changes in version 2.3.6 (2013-11-24):
- Help for inputToADaCGH has a more verbose section on the need to use
the right mc.cores.
- Made default for mc.cores to inputToADaCGH be half the number of
cores.
- More changes to benchmarks.pdf, including the link to all the data.
Changes in version 2.3.5 (2013-11-11):
- Changes in vignette: unified all benchmarking in benchmark.pdf.
- Clarified help for pSegment on loadBalance and say explicitly not
the default for HaarSeg.
- Note versions 2.3.3 and 2.3.4 were never placed in BioC repos.
Changes in version 2.3.4 (2013-11-09):
- Reorganized file location for additional files (benchmarks, long-
vignette).
- Addedd loadBalance as an argument to the pSegment and pChromPlot
functions, so that the user can
choose to use load balancing-like with both forking and MPI. See
additional benchmarking vignette
for tables with results. Added code to the long vignette to exercise
this.
Changes in version 2.3.3:
- Playing with clusterApplyLB.
Changes in version 2.3.2 (2013-10-22):
- Import aCGH and snapCGH again. Corresponding changes in Author,
init.c, R code, and C code:
basically, all the code taken from those packages is not here.
Changes in version 2.3.1 (2013-10-20):
- Added aCGH and snapCGH code: new R and C files, with minor
modifications and updates (registration
of routines, no partial matching of arguments, etc)
- NAMESPACE and Description reflect no longer dependency on snapCGH or
aCGH.
- This version works, passes tests, is checked to give the same
results as previous ones, etc. But
never made it into BioC repos, as on 2013-10-23 I realized aCGH and
snapCGH were again in BioC
devel.
Changes in version 2.3.0 (2013-10-20):
- Version bump for new BioC devel.
affxparser
----------
Changes in version 1.36.0 (2014-04-11):
- The version number was bumped for the Bioconductor release version,
which is now BioC v2.14 for R
(>= 3.1.0).
Changes in version 1.35.3 (2014-02-28):
- Same updates as in release v1.34.2.
Changes in version 1.35.2 (2014-02-28):
- Patches to Fusion SDK based on clang v3.4.
Changes in version 1.35.1 (2014-02-27):
- Same updates as in release v1.34.1.
Changes in version 1.35.0 (2013-10-14):
- The version number was bumped for the Bioconductor devel version.
AllelicImbalance
----------------
Changes in version 1.2.0:
NEW FEATURES
- Faster getAlleleCounts()
BUG FIXES
- Fixed bug in the "realCigarPosition" function, that otherwise could
generate an error.
alsace
------
Changes in version 0.2:
- implement overlapping segments! should be a real novelty _DONE_, Oct
24
- add quality criteria in summary _DONE_, Oct 20
- complete pipeline so that the output is an intensity matrix _DONE_
- add wrapper function for a complete analysis _DONE_ Nov 20
- add some parallellization support _IN PROGRESS_: some lapply
statements have been changed into
mclapply but the most time-consuming step, the ALS iterations, will
remain slow. Different time
windows are done in parallel, but some time windows require very few
iterations, others require
quite a lot. In addition, the ALS output is annoying. Also the
warping can be slow with many
components.
- add estimation of # of components
annmap
------
Changes in version 1.5.10:
- IMPROVED ANNMAP-121 Allow setting of WS base url for local testing
Changes in version 1.5.8:
- IMPROVED ANNMAP-119 as.vector=TRUE results are now named
- IMPROVED ANNMAP-120 genomeToTranscriptCoords could handle coding
regions
Changes in version 1.5.7:
- BUG Check for uniqueness in transcriptToCodingExon,
transcriptToCodingRange, transcriptToUtrExon
and transcriptToUtrRange
Changes in version 1.5.6:
- NEW Added transcriptToUtrExon
- IMPROVED Sequence removed from transcriptToCodingExon
Changes in version 1.5.5:
- IMPROVED ANNMAP-115 Added method geneToGeneRegionTrack to generate a
list of Gviz GeneRegionTrack
elements that can be passed to plotTracks
Changes in version 1.5.4:
- BUG ANNMAP-118 transcriptToCodingRange( ..., end='3' ) returns whole
transcript for untranslated
transcripts.
- IMPROVED ANNMAP-114 Added additional logging when using webservice
- IMPROVED ANNMAP-116 Introduce function(s) to calculate the coding
length of a gene(s) - See:
?nonIntronicGeneLength and ?nonIntronicTranscriptLength.
Changes in version 1.5.3:
- IMPROVED ANNMAP-114 Added additional logging when using webservice
- IMPROVED ANNMAP-113 Added documentation to cookbook for webservice
- IMPROVED webservice json to data.frame speed improvements
AnnotationDbi
-------------
Changes in version 1.26:
NEW FEATURES and API changes
- Support for new schemaless chip packages to allow more flexible
suport of non-model organisms in
chip packages.
- Support for Inparanoid8 objects which contain data from the most
recent release of inparanoid.
These objects will be available through the AnnotationHub.
BUG FIXES AND CODE MAINTENANCE
- PFAM and PROSITE mappings are going away! This is because these
mappings are tied to the now long
defunct IPI ids. Don't worry we have you covered. These ids will
still be available with
select(), the mappings are just bad because they can't exist without
IPI ids (which we can no
longer get). So for the next release if you try to use these
mappings you will be warned about
it. After that, you need to have made the switch to select(). * * *
1.24.x SERIES NEWS * * *
AnnotationHub
-------------
Changes in version 1.4.0:
NEW FEATURES
- Add display,AnnotationHub-method using shiny
- Adds support for Inparanoid8 objects (which in turn support select,
keys, columns and keytypes)
- Adds local metadata caching that dramatically improves performance
SIGNIFICANT USER VISIBLE CHANGES
- metadata argument 'columns' replaces deprecated 'cols'
BUG FIXES
- metadata() returns only information on current hub elements
aroma.light
-----------
Changes in version 2.0.0 (2014-04-11):
- The version number was bumped for the Bioconductor release version,
which is now BioC v2.14 for R
(>= 3.1.0).
Changes in version 1.99.3 (2014-03-31):
- Bumped the version such that the next release will be 2.0.0.
BaseSpaceR
----------
Changes in version 1.7:
NEW FEATURES
- Improved API design and a cleaner representation of the BaseSpace
Data Model.
- New count<resource> methods. These methods should be used to get the
number of instances of a
particular resource which are visible under the current scope. For
example, the total number of
Samples within a Project. Or the total number of Files for a given
AppResults.
- Improved authentication process. One can now seamlessly used the R
SDK from with Native Apps or
Web Apps. New 'AppSessionAuth' class to handle the authentication in
this cases. It extends the
'AppAuth' class, by keeping track of the AppSession Id. User-level
constructors:
'authWebClient()' and 'authNativeClient()' generator
.AppSessionAuth().
- New mechanism for handling the BaseSpace server responses.
'ResponseStatus' class is now used for
tracking the HTTP/server response status and integrated in the
'AppAuth' interface.
'x$showResponse()' can now be used to print the (JSON) body of the
last response from the server.
- Integration with some Bioconductor data structures. BAM data from
BaseSpace can now be easily map
to 'BamFile' objects.
SIGNIFICANT USER-VISIBLE CHANGES
- 'authenticateClient()' function remove and replaced by
'authWebClient()' and 'authNativeClient()'.
'AppAuth' instances are used for desktop Apps only.
BUG FIXES
- Minor bug fixes with the authentication process.
- Method dispatchment now works as intended for 'listFiles' and
'Files'.
BiGGR
-----
Changes in version 1.1.4:
- Updated vignette. Equality constraints on GABA shunt and pentose
phosphate pathway fluxes are now
used in FBA and ensemble simulations.
Changes in version 1.1.3:
- Updated vignette and bibtex file. FBA and ensemble sampling are now
done with integration of brain
metabolite uptake measurement data.
- Added new function 'sampleFluxEnsemble' which can be used to
generate a posterior distribution of
flux vectors with respect to measuerement error in certain fluxes.
An example of
'sampleFluxEnsemble' has been added to the package vignette.
- Added LIM model file 'Glycolysis_TCA.LIM' to the examples directory.
This file contains the model
which is build in the examples.
- Fixed warnings in functions buildSBMLFromReactionIDs and
createLIMFromSBML to seperate missing
identifiers with a comma.
BiocInstaller
-------------
Changes in version 1.14.0:
NEW FEATURES
- biocUpdatePackages updates installed packages and their
dependencies.
BiocParallel
------------
Changes in version 0.5.5:
NEW FEATURES
- multicoreWorkers() determines the number of workers based on
operating system (Windows: 1), user
preference (via the global option options(mc.cores=...)), or system
capability (detectCores()).
- bpparam() selects a default BiocParallelParam, from global options
or, if that fails, the most
recently registered() back-end.
SIGNIFICANT USER-VISIBLE CHANGES
- Rename argument controlling resumption on error as BPRESUME
- Default to parallel back-end (multicore on non-Windows; snow on
Windows).
BUG FIXES
- bpvec,ANY,MulticoreParam-method with fewer tasks than cores
evaluates only the cores for which
tasks are defined.
Changes in version 0.5.2:
NEW FEATURES
- mclapply(), pvec() require only length, [, and (for mclapply) [[.
- pvectorize() creates a parallel version of its vectorized function
argument.
- MulticoreParam, SnowParam, DoparParam (foreach-derived), SerialParam
to parameterize back-ends.
- bplapply, bpvec as parallel evaluation models.
- bpstart, bpstop, bpisup for back-end management.
- bpvec has a new argument AGGREGATE, a function to specify how
results are to be combined.
- Support for BatchJobs back-end added, via GSOC Michel Lang.
SIGNIFICANT USER-VISIBLE CHANGES
- BPPARM is now used as the argument name for passing
BiocParallelParam instances to functions.
- bplapply and bpvec now only dispatch on X and BPPARAM.
BiocStyle
---------
Changes in version 1.2.0:
USER VISIBLE CHANGES
- Remove dependency on 'helvet' LaTeX package to allow for the same
font both in Sweave and knitr
- Improve package vignette by adding paragraphs about building
vignettes and using bibliography
- knitr chunk_opts error=FALSE by default, so failures during vignette
processing are signaled to R
CMD build and R CMD check
- Name-mangle \comment mark-up to avoid conflicts with other LaTeX
styles
- Introduce \bioctitle to allow for full and short (header) titles
- Add BiocStyle::latex option 'use.unsrturl=TRUE' to use the
'unsrturl' bibliography style by
default
BUG FIXES
- Avoid use of 'titling' LaTeX package to circumvent the conflict w/
\footnote in \author
biomvRCNS
---------
Changes in version 1.3.3:
NEW FEATURES
- updates in package vignette
BUG FIXES
- remove limitation of maximum typecode in the plot, now using
rainbow()
Changes in version 1.3.2:
BUG FIXES
- fix the returned posterior p
bsseq
-----
Changes in version 0.11:
- Converted to using Authors at R in the DESCRIPTIOn file.
- plotRegion did not respect the col/lty/lwd argument if given
explicitely as opposed to through
pData(). Reported by Karen Conneely <kconnee at="" emory.edu="">.
- Fixed an issue introduced by the previous change (to plotRegion).
Reported (with a fix) by Tim
Triche Jr <tim.triche at="" gmail.com="">.
- Fixed a serious bug in collapseBSseq reported by Julien Roux <jroux at="" uchicago.edu="">: it would use
the Meth values instead of Cov for the final object's Cov. However,
this will result in the
return object having a methylation of 100 percent across all loci,
so hopefully users will have
seen this for themselves.
- Fixed a bug in combineList which made combineList use "slow" code
even in a special case where a
faster shortcut was possible. This bug fix does not change the
output of the function under any
input, it only makes it faster. Reported by Julien Roux <jroux at="" uchicago.edu="">.
bumphunter
----------
Changes in version 1.3.5:
- nearestgene() now loads TT.rda into the local environment
- known_transcripts(), and consequently matchGenes(), was yielding
mostly NA for the Refseq /
'annotation' column (iff there were multiple refseq ids for the
given Entrez/Gene id)
- Fixed data/TT.rda, as the new value of known_transcripts()
Changes in version 1.3:
- Fixed NAMESPACE issues.
CAFE
----
Changes in version 0.99.2:
- Code and man files are now limited to 80 character width per line
- Code now uniformly uses 4-space indentation
- Vignette now uses BiocStyle style
Changes in version 0.99.1:
- fixes a bug that gave an error when plotting with idiogram=TRUE.
This was due to an update in the
ggbio package that broke CAFE
- CAFE can now be used with species other than human It is no longer
limited to 22 autologous
chromosomes
CAMERA
------
CHANGES IN VERSION 1.19.1
* Fixed bug in the generateRules function, where in the negative
mode
rules with polycharged positve ions are not created
CellNOptR
---------
Changes in version 1.10.0 (2014-03-13):
- BUG FIX
* typos leading to failure fixed in cutCNOlist
* typos leading to failure in CNOlist if variance were provided
- CHANGES
* Changed warning into errors in readMIDAS and checkSignals
functions
- NEW FEATURES
* self loop can be read from the SIF files
* readSBMLQual do not need to add dummy nodes anymore
ChemmineOB
----------
Changes in version 1.2.0:
NEW FEATURES
- SMARTS search
ChemmineR
---------
Changes in version 2.16.0:
NEW FEATURES
- SMARTS Search availible through ChemmineOB
- Folding of FPset objects
- Support for SQL database updates by compound name
- Coordinate re-generation via ChemmineOB improves structure rendering
chimera
-------
Changes in version 1.5.2:
NEW FEATURES
- prettyPrint function was added to generate a table delimited file
output form a list of fSet
objects.
ChIPpeakAnno
------------
Changes in version 2.11.4:
NEW FEATURE
- Add selection of 'shortestDistance' to output parameter of
annotatePeakInBatch.
Changes in version 2.11.3:
NEW FEATURE
- Improved efficiency of annotatePeakInBatch.
ChIPQC
------
Changes in version 1.0.0:
- Initial release.
cisPath
-------
Changes in version 1.3.3:
- improvements
Changes in version 1.3.1:
- documentation improvements
cleanUpdTSeq
------------
Changes in version 1.1.3:
NEW FEATURES
- No changes classified as "new features" (package under active
development)
BUG FIXES
- Fix the bugs 'match' requires vector arguments when using %in%
Changes in version 1.1.2:
NEW FEATURES
- Add citation
BUG FIXES
- No changes classified as 'bug fixes' (package under active
development)
Changes in version 1.1.1:
NEW FEATURES
- Re-name the inst/doc directory to vignettes
BUG FIXES
- No changes classified as 'bug fixes' (package under active
development)
Changes in version 1.1.0:
NEW FEATURES
- New package released in bioconductor
BUG FIXES
- No changes classified as 'bug fixes' (package under active
development)
cleaver
-------
Changes in version 1.1.8 (2014-03-26):
- Fix missedCleavages>1.
- Add argument "unique".
- Add methods, Biostrings, IRanges to NAMESPACE.
Changes in version 1.1.7 (2014-03-25):
- Typo in the manual page.
Changes in version 1.1.5 (2014-02-25):
- Using AAStringSetList constructor for list of characters instead of
creating a lot of AAStringSets
dramatically decreases running time for cleave,AAStringSet-method.
Changes in version 1.1.4 (2013-12-20):
- tests:
- move tests into tests/testthat to adapt to testthat 0.8 and new CRAN
policy.
Clomial
-------
Changes in version 0.99.0 (2014-02-11):
- Under review by Bioconductor.
- Created.
clonotypeR
----------
Changes in version 1.2.0:
NEW FEATURES
- Added a ?long? option to yassai_identifier(), where every amino acid
is represented. This solves
the problem of ID collisions, where a single identifier could be
produced by two different
clonotypes.
- Added a new option to clonotype_table() for randomly sampling
libraries.
- Added a new mode to common_clonotypes() for calculating the
abundance relatively to one library.
- Unified the syntax of common_clonotypes() and unique_clonotypes().
BUG FIXES
- Removed infinite loop in yassai_identifier() when the germinal V
sequence was completely absent
from the CDR3.
- Corrected output bug where ?integer(0)? was returned if the V?J
boundary was a codon boundary.
- yassai_identifier(): properly encode the names of the V and J
segments.
clusterProfiler
---------------
Changes in version 1.11.3:
- now plotting compareClusterResult support scale the dot size by
geneRatio, and it is now setting
as default. <2014-01-14, Tue>
- The original default parameter by="percentage" is now changing to
"rowPercentage" <2014-01-14,
Tue>
Changes in version 1.11.2:
- remove viewKEGG function <2013-11-12, Tue>
- In vignette, illustrates how to visualize KEGG pathway using use
pathview package. <2013-11-12,
Tue>
CNAnorm
-------
1.9.2: Added function CNAnormWorkflow Added window weighting (for
segmentation) depending on
dispersion. Fixed a bug that made plotGenome crash if the
interval of interest had no
valid values. Changed vignette to better reflect typical
usage and defined basic and
advanced use.
codelink
--------
Changes in version 1.32.0:
- Minor fixes to documentation.
- Dropped the old term "Bioarray" (originally used for the first
Codelink platform) from the
DESCRIPTION file.
COMPASS
-------
Changes in version 0.9.0:
- First release.
compcodeR
---------
0.99.2: Bug fixes
0.99.1: improved documentation of the compData class
0.2.0: more examples, checks and error messages
0.2.0: more options for providing user-specified values in the data
simulation
0.2.0: changed the range of the color palette in the Spearman
correlation plots to [-1,1]
deepSNV
-------
Changes in version 1.99.3 (2013-07-25):
Updates
- A few changes to shearwater vignette
- Renamed arguments pi.gene and pi.backgr in makePrior()
Bugfixes
- Fixed bug in bf2Vcf() when no variant is called
Changes in version 1.99.2 (2013-07-11):
Updates
- Updated CITATION
- Added verbose option to bam2R to suppress output
- Changed mode() to "integer" for value of loadAllData()
Bugfixes
- Fixed bug when only one variant is called in bf2Vcf()
Changes in version 1.99.1 (2013-06-25):
Updates
- Using knitr for prettier vignettes
- Including shearwater vignette
Bugfixes
- fixed issues with deletions in bf2Vcf()
- makePrior() adds background on all sites
Changes in version 1.99.0 (2013-04-30):
Updates
- New shearwater algorithm
- Including VCF output through summary(deepSNV, value="VCF")
DESeq2
------
Changes in version 1.4.0:
- *** USAGE NOTE *** Expanded model matrices are now used when
betaPrior = TRUE (the default).
Therefore, level comparison results should be extracted using the
'contrast' argument to the
results() function. Expanded model matrices produce shrinkage of log
fold changes that is
independent of the choice of base level. Expanded model matrices are
not used in the case of
designs with an interaction term between factors with only 2 levels.
- The order of the arguments 'name' and 'contrast' to the results()
function are swapped, to
indicate that 'contrast' should be used for the standard comparisons
of levels against each other.
Calling results() with no arguments will still produce the same
comparison: the fold change of the
last level of the last design variable over the first level of the
last design variable. See
?results for more details.
- The DESeq() function will automatically replace count outliers
flagged by Cook's distance when
there are 7 or more replicates. The DESeq() argument
'minReplicatesForReplace' (default 7) is used
to decide which samples are eligible for automatic replacement. This
default behavior helps to
prevent filtering genes based on Cook's distance when there are many
degrees of freedom.
Changes in version 1.3.58:
- Added a list() option to the 'contrast' argument of results(). See
examples in ?results.
Changes in version 1.3.24:
- rlogTransformation() gains an argument 'fast', which switches to an
approximation of the rlog
transformation. Speed-up is ~ 2x.
- A more robust estimator for the beta prior variance is used: instead
of taking the mean of squared
MLE betas, the prior variance is found by matching an upper quantile
of the absolute value of MLE
betas with an upper quantile of a zero-centered Normal distribution.
Changes in version 1.3.17:
- It is possible to use a log2 fold change prior (beta prior) and
obtain likelihood ratio test
p-values, although the default for test="LRT" is still
betaPrior=FALSE.
Changes in version 1.3.15:
- The DESeq() function will automatically replace count outliers
flagged by Cook's distance when
there are 7 or more replicates. The DESeq() argument
'minReplicatesForReplace' (default 7) is used
to decide which samples are eligible for automatic replacement. This
default behavior helps to
prevent filtering genes based on Cook's distance when there are many
degrees of freedom.
- The results() function produces an object of class 'DESeqResults'
which is a simple subclass of
'DataFrame'. This class allows for methods to be written
specifically for DESeq2 results. For
example, plotMA() can be called on a 'DESeqResults' object.
Changes in version 1.3.12:
- Added a check in nbinomWaldTest which ensures that priors on
logarithmic fold changes are only
estimated for interactions terms, in the case that interaction terms
are present in the design
formula.
Changes in version 1.3.6:
- Reduced the amount of filtering from Cook's cutoff: maximum no
longer includes samples from
experimental groups with only 2 samples, the default F quantile is
raised to 0.99, and a robust
estimate of dispersion is used to calculate Cook's distance instead
of the fitted dispersion.
Changes in version 1.3.5:
- New arguments to results(), 'lfcThreshold' and
'alternativeHypothesis', allow for tests of log
fold changes which are above or below a given threshold.
- plotMA() function now passes ellipses arguments to the results()
function.
DEXSeq
------
Changes in version 2014-03-21:
- Major code revisions: the ExonCountSet object was deprecated and
substituted by the DEXSeqDataSet
class, a subclass of the DESeqDataSet.
- DEXseq now uses the DESeq2 package as internal engine and backbone
for all analyses
- All functions and methods for the ExonCountSet object were replaced
by new functions
- DEXSeq is now better integrated with other Bioconductor packages
- We now use knitr to build the vignette
DiffBind
--------
Changes in version 1.10.0:
- Counting
* New: option to compute summits
* New: option to center peaks with fixed width around summits
* New: scores for summits (height, position) and CPM for TMM values
* New: filter reads by mapping quality (mapQCth)
* New: support for PE bam data using summarizeOverlaps
* Remove: bCalledMask (now always TRUE)
* Change: insertLength to fragmentSize
* Add: fragmentSize can be a vector with a size for each sample
* Change: fragmentSize default is 125 bp
- Plotting
* Change: colors based on CRUK color scheme
* PCA plots
* New: legend
* New: label parameter for adding text labels of points in 2D plot
* Venn diagrams
* New: plot overlaps of differentially bound sites by specifying
contrasts, thresholds etc.
* New: able to return overlapping peaksets as GRanges directly
* New: able to generate new DBA object consisting of overlapping
peaks
* New: labelAttributes for controlling default labels
* New: default main and sub titles
* Heatmaps
* Fix: don?t plot column vector for attributes where every sample
has a different value
- General
* New: add attribute value: DBA_ALL_ATTRIBUTES
* Change: SN (signal/noise) to FRIP (fraction of reads in peaks)
* Change: ?Down? to ?Loss? and Up? to ?Gain?
* Vignette
* Change: vignette uses BiocStyles and dynamically generated figures
* Change: example data based on hg19 instead of hg18
* Change: example reads from bam files instead of bed files
* New: section on using DiffBind and ChIPQC together
* New configuration defaults options (DBA$config):
* Metadata name strings: ID, Tissue, Factor, Condition, Treatment,
Caller
* th: significance threshold
* bUsePval
* fragmentSize
* mapQCth: filter reads by mapping quality
* fragments (for summarizeOverlaps)
- Bugs/Issues
* Fix: bRemoveDuplicates had some unpredictable behaviour
* Fix: chrN_random were being counted against chrN
* Disable: tamoxifen_GEO.R doesn?t work after SRA changed format of
archived data
easyRNASeq
----------
Changes in version 1.99.3:
- Replicated the bug fixing of version 1.8.8.
Changes in version 1.99.2:
- Added missing imports
Changes in version 1.99.1:
- Fixed a bug in the getBamFileList function that prevented reporting
accurate error/warning
messages.
- Updated the package dependencies.
Changes in version 1.99.0:
- Ported the final changes from the Git repository that make the
simpleRNASeq function functional.
- Bumped the version number to 1.99 as these are major changes and
hence next Bioc release will have
easyRNASeq 2.0.0.
Changes in version 1.9.7:
- Same as release 1.8.7 change.
Changes in version 1.9.6:
- Ported changes from the Git repository including further class
refinements and unit testing.
Changes in version 1.9.5:
- Automatic version number bump by Bioc
Changes in version 1.9.4:
- Mirrored changes in version 1.8.6
Changes in version 1.9.3:
- Mirrored changes in version 1.8.5
Changes in version 1.9.2:
- Ported version 1.8.4 changes to the development version
- Started to import new classes from the git repository as part of the
package main function
re-implementation
Changes in version 1.9.1:
- Change from Bioc to insert GenomicAlignments
Changes in version 1.9.0:
- No changes, new development version
EBImage
-------
Changes in version 4.6.0:
NEW FEATURES
- 'toRGB' function for convenient grayscale to RGB conversion
- 'luminance' mode in 'channel' for luminance-preserving RGB to
grayscale conversion
SIGNIFICANT USER-VISIBLE CHANGES
- Performance improvements to: 'Image', 'is.Image', 'readImage',
'writeImage', 'show', 'normalize',
'getFrame', 'selectChannel', 'rgbImage', 'colorLabels',
'flip'/'flop'
- Reduced memory footprint of 'readImage'
- When called on an 'Image' object, 'as.Image' returns its argument
rather than the
Grayscale-coerced copy
- 'displayRaster' sets 'par$usr' coordinates to image pixel
coordinates easing up plot annotation
BUG FIXES
- 'getFrame', 'getNumberOfFrames' and 'colorLabels' support multi-
dimensional images
- Proper handling of multi-dimensional character arrays by the 'Image'
constructor
- Fixed 'getFrame' and 'combine' in case of single-channel Color
Images
- Fixed color mode check in 'validImageObject'
- Proper 'fg.col' and 'bg.col' color handling in 'tile'
- Updates to documentation
EDASeq
------
Changes in version 1.9:
- Added method plotRLE for Relative Log Expression (RLE) plots.
EDDA
----
Changes in version 0.99.2:
SIGNIFICANT USER-VISIBLE CHANGES
- Put "NEWS.Rd" in EDDA/.
- Change biocViews to DESCRIPTION file.
- Modify DESCRIPTION and NAMESPACE file.
- move the data to EDDA/inst/extdata.
Changes in version 0.99.1:
SIGNIFICANT USER-VISIBLE CHANGES
- Put "EDDA.Rnw" in EDDA/vignettes.
- Remove "library("EDDA");" in file man/EDDA-package.Rd.
- Clean up pre-defined tempates in man files.
- Use TRUE instead of T and FALSE instead of F.
- Clean R code by breaking code less 80 characters, removing tabs and
using indent by a multiple of
4 spaces.
NEW FEATURES
- Add biocViews to DESCRIPTION file.
- Add KEYWORDS for each function man file.
- Add "NEWS.Rd" in EDDA/inst/.
Changes in version 0.99.0:
SIGNIFICANT USER-VISIBLE CHANGES
- Submit EDDA
edgeR
-----
Changes in version 3.6.0:
- Improved treatment of fractional counts. Previously the classic
edgeR pipeline permitted
fractional counts but the glm pipeline did not. edgeR now permits
fractional counts throughout.
- All glm-based functions in edgeR now accept quantitative
observation-level weights. The glm
fitting function mglmLS() and mglmSimple() are retired, and all glm
fitting is now done by either
mglmLevenberg() or mglmOneWay().
- New capabilities for robust estimation allowing for observation-
level outliers. In particular, the
new function estimateGLMRobustDisp() computes a robust dispersion
estimate for each gene.
- More careful calculation of residual df in the presence of exactly
zero fitted values for
glmQLFTest() and estimateDisp(). The new code allows for deflation
of residual df for more complex
experimental designs.
- New function processHairpinReads() for analyzing data from shRNA-seq
screens.
- New function sumTechReps() to collapse counts over technical
replicate libraries.
- New functions nbinomDeviance() and nbinomUnitDeviance. Old function
deviances.function() removed.
- New function validDGEList().
- rpkm() is now a generic function, and it now tries to find the gene
lengths automatically if
available from the annotation information in a DGEList object.
- Subsetting a DGEList object now has the option of resetting to the
library sizes to the new column
sums. Internally, the subsetting code for DGEList, DGEExact, DGEGLM,
DGELRT and TopTags data
objects has been simplified using the new utility function
subsetListOfArrays in the limma
package.
- To strengthen the interface and to strengthen the object-orientated
nature of the functions, the
DGEList methods for estimateDisp(), estimateGLMCommonDisp(),
estimateGLMTrendedDisp() and
estimateGLMTagwiseDisp no longer accept offset, weights or AveLogCPM
as arguments. These
quantities are now always taken from the DGEList object.
- The User's Guide has new sections on read alignment, producing a
table of counts, and on how to
translate scientific questions into contrasts when using a glm.
- camera.DGEList(), roast.DGEList() and mroast.DGEList() now include
... argument.
- The main computation of exactTestByDeviance() now implemented in C++
code.
- The big.count argument has been removed from functions
exactTestByDeviance() and
exactTestBySmallP().
- New default value for offset in dispCoxReid.
- More tolerant error checking for dispersion value when computing
aveLogCPM().
- aveLogCPM() now returns a value even when all the counts are zero.
- The functions is.fullrank and nonEstimable are now imported from
limma.
eiR
---
Changes in version 1.4.0:
NEW FEATURES
- eiCluster can now cluster subsets of database
- use new features in ChemmineR to store duplicate descriptors only
once.
- embedded descriptors now stored in database and the matrix file is
written out only as needed by
LSH to create an index.
UPGRADING
- Database schema changes make this version incompatible with version
1.2 an earlier. Existing
databases will need to be re-loaded.
ensemblVEP
----------
Changes in version 1.4.0:
NEW FEATURES
- VEPParam is now VIRTUAL with subclasses VECParam67 and VEPParam73
- Add helpers currentVEP() and supportedVEP()
- Add VEPParam75 class
MODIFICATIONS
- Modify VEPParam to support API versions 67 and 73
- Add slots 'scriptPath' and 'version' to VEPParam
- New man page for runtime options
- Update biocViews terms
FGNet
-----
Changes in version 2.0:
NEW FEATURES
- The networks can now be plotted for terms in addition to genes.
- In the report, clicking on the plots allows to see the plot at full
size next to the terms table
(if the screen resolution allows it).
- ToMatrix(): Added arguments 'key' (to choose either genes or terms)
and 'removeFiltered' terms.
Renamed main argument (geneTermSets) to 'results'.
- IntersectionNetwork() shows a warning if there is no intersection.
Added argument 'plotAllMg' to
allow choosing wether to plot unconnected metagroups or not.
- FunctionalNetwork() changed the two main arguments to a single one,
which is the raw output from
toMatrix() (a list with names: c("metagroupsMatrix", "gtSetsMatrix",
"filteredOut")). Added
arguments: 'eColor' to provide the edges color, and 'weighted' to
draw the edge width according to
the number of shared gene-term sets.
- Reports: Added argument 'downloadGOtree' to allow choosing wether to
download the go term trees
png (slower) or just provide the link to the web tool.
BUG FIXES
- functionalNetwork() now correctly writes either "cl" or "mg" in the
legend
Changes in version 1.3.1:
NEW FEATURES
- adjMatrix() has been renamed to toMatrix()
- GO png trees are now automatically downloaded when generating the
report
- functionalNetwork: metagroup/cluster legend order has been changed
to alphabetical
BUG FIXES
- Minor bug fixes
flipflop
--------
Changes in version 1.1.6:
NEW FEATURES
- Add 'expected.counts' in the output objects. It gives the expected
raw count (ie number of mapped
fragments) for each predicted transcripts. This information is also
available in the output gtf
file.
Changes in version 1.1.4:
NEW FEATURES
- Add a 'OnlyPreprocess' option for performing only the pre-processing
step of the input sam file.
This step writes two files: one file named 'prefix.instance' and one
other named
'prefix.totalnumread', where 'prefix' is the prefix of the input sam
file. The 'prefix.instance'
file can then be given to the option 'preprocess.instance' and the
total number of mapped reads is
stored in the 'prefix.totalnumread' file.
- Allow to give 'NN' (total number of mapped fragments) even when
using the sam file as input. This
can be used to run flipflop in parallel on parsed sam files with the
same NN constant.
USER-LEVEL CHANGES
- Handle '~' in input paths with path.expand function.
- Give a more detailed R output with the read count.
MINOR CHANGES
- Do not write individual Coverage into the pre-processing file
anymore ie, the .instance file. (in
practice comments lines in readgroup.cpp, part 'toStream')
Changes in version 1.1.2:
BUG FIXES
- Switch from GRangeList to a regular list as the number of metadata
columns could not vary in
GRangeList.
fmcsR
-----
Changes in version 1.6.0:
NEW FEATURES
- Added timeout option
- Allow parallel execution for batch computations
FRGEpistasis
------------
Changes in version 0.99.5:
- Added FDR control
Changes in version 0.99.4:
- Completed the man pages
- Added the NEWS file
- Updated the DESCRIPTION file
- Completed the vignette
- Updated the genotype file format
Changes in version 0.99.3:
- Corrected the biocViews
Changes in version 0.99.1:
- Added FRGEpistasis vignette
gage
----
Changes in version 2.12.1:
- remove pathview from the imports list for easier installation and
loading.
gCMAP
-----
Changes in version 1.7.2:
- CHANGE: Helper functions KEGG2cmap, reactome2cmap, wiki2cmap and
go2cmap have two additional
parameters, min.size and max.size, restricting the output to gene
sets containing members within
the specified range.
- CHANGE: Method camera_score now outputs correlations in column
'effect'.
- BUGFIX: Correct numbers of annotated genes are now returned for each
set.
Changes in version 1.7.1:
- CHANGE: Vignettes are now stored in vignettes directory.
gCMAPWeb
--------
Changes in version 1.3.2:
- BUGFIXMoved the 'Rook' package from 'Imports' to 'Depends'
Changes in version 1.3.1:
- CHANGEVignettes are now stored in vignettes directory.
geNetClassifier
---------------
Changes in version 1.3.1:
NEW FEATURES
- plotAssignments: Optimized speed and changed background color to
blue. Added argument pointSize.
- plotExpressionProfiles: Added argument sampleColors.
BUG FIXES
- Added RUnit and BiocGenerics to "Suggests" to avoid R CHECK warnings
- Import methods, ebarrays and emfit in namespace to avoid R CHECK
warnings
- plot.GenesNetwork is now completelly equivalent to plotNetwork (same
default arguments)
GenomeInfoDb
------------
Changes in version 0.99.14:
SIGNIFICANT USER-VISIBLE CHANGES
- rename: package: Seqnames --> GenomeInfoDb supportedStyles ->
genomeStyles makeSeqnameIds -->
rankSeqlevels (add to export) seqnamesOrder --> orderSeqlevels
extractSeqnameSet ->
extractSeqlevels extractSeqnameSetByGroup -> extractSeqlevelsByGroup
findSequenceRenamingMaps -->
mapSeqlevels seqnamesInGroup --> seqlevelsInGroup seqnamesStyle -->
seqlevelsStyle
"seqnameStyle<-" --> "seqlevelsStyle<-"
Changes in version 0.99.7:
SIGNIFICANT USER-VISIBLE CHANGES
- rename: isSupportedSeqnames -> .isSupportedSeqnames
supportedSeqnameStyles ->
.supportedSeqnameStyles supportedSeqnameMappings ->
.supportedSeqnameMappings
isSupportedSeqnamesStyle -> .isSupportedSeqnamesStyle
Changes in version 0.99.6:
NEW FEATURES
- add new functions() seqnamesInGroup which will take a character
vector of chromosomes and return
the chromosomes specified by the group parameter supplied by the
user. The user can also give the
species and the style. seqnamesOrder() internally calls Herve's
function makeSeqnameIds()
- add seqnameStyles generic and method from GenomicRanges
SIGNIFICANT USER-VISIBLE CHANGES
- rename: testSeqnames -> isSupportedSeqnames
- move SeqnamesStyle generic from GenomicRanges and define a new
method which works on a character
vector.
DEPRECATED AND DEFUNCT
- deprecate listAllSupportedStylesBySpecies(),
listAllSupportedSeqnameStyles(), supportedOrganisms()
supportedSeqnameMappingsWithGroup()
DEPRECATED AND USED INTERNALLY(NOT EXPORTED
- deprecate supportedSeqnameMappings(), supportedSeqnameStyles(),
isSupportedSeqnamesStyle(),issupportedSeqnames()
Changes in version 0.99.1:
SIGNIFICANT USER-VISIBLE CHANGES
- The Seqnames package will have functions which will be moved from
AnnotationDbi , GenomicRanges
- List of 9 functions moved from AnnotationDbi
supportedSeqnameMappings, findSequenceRenamingMaps,
supportedSeqnameStyles, supportedSeqnames, extractSeqnameSet,
testSeqnames,
isSupportedSeqnamesStyle, listAllSupportedStylesBySpecies,
listAllSupportedSeqnameStyles.
- makeSeqnameIds moved from GenomicRanges
- keepStandardChromosomes moved from GenomicRanges
- rename: keepStandardChromosomes -> keepChromosomes
NEW FEATURES
- added new functions: supportedOrganisms()
supportedSeqnameMappingsWithGroup()
extractSeqnameSetByGroup()
GenomicAlignments
-----------------
Changes in version 0.99:
NEW FEATURES
- coverage,BamFile-method uses yieldSize to iterate through large
files.
- coverage,character-method calculates coverage from a BAM file.
GenomicFiles
------------
Changes in version 1.0.0:
NEW FEATURES
- First release of GenomicFiles package
GenomicRanges
-------------
Changes in version 1.16.0:
NEW FEATURES
- Add "subset" method for SummarizedExperiment objects.
- Allow DataFrame in SummarizedExperiment assays.
- Add 'use.mcols' arg (FALSE by default) to the granges(), grglist(),
and rglist() generics (a.k.a.
the range-squeezer generics).
- Add coercion method from GRangesList to RangesList.
- Add score() setter for GRangesList objects.
- findOverlaps(..., type="within") now works on circular chromosomes.
- Add 'ignore.strand' arg to "sort" method for GRanges objects.
- Support subsetting of a named list-like object *by* a GenomicRanges
subscript.
- Support sort(granges, by = ~ score), i.e., a formula-based interface
for sorting by the mcols.
SIGNIFICANT USER-LEVEL CHANGES
- Move many functionalities to the new GenomicAlignments package: -
The GAlignments,
GAlignmentPairs, and GAlignmentsList classes. - The qnarrow()
generic and methods. - The "narrow"
and "pintersect" methods for GAlignments and GAlignmentsList
objects. - The low-level CIGAR
utilities. - The "findOverlaps" methods for GAlignment* objects. -
The summarizeOverlaps() generic
and methods, and the "Counting reads with summarizeOverlaps"
vignette. - findCompatibleOverlaps()
and countCompatibleOverlaps(). - The findSpliceOverlaps() generic
and methods. - The "overlap
encodings" stuff i.e. the "encodeOverlaps" method for GRangesList
objects, flipQuery(),
selectEncodingWithCompatibleStrand(), isCompatibleWithSplicing(),
isCompatibleWithSkippedExons(),
extractSteppedExonRanks(), extractSpannedExonRanks(),
extractSkippedExonRanks(), and
extractQueryStartInTranscript(), and the "OverlapEncodings"
vignette.
- Rename 'with.mapping' arg -> 'with.revmap' in "reduce" methods. The
old arg name is still working
but deprecated.
- Move makeSeqnameIds() function to the new GenomeInfoDb package and
rename it rankSeqlevels(). The
old name is still working but deprecated.
- The "strand" methods now perform stricter checking and are
guaranteed to always return a factor
(or factor-Rle) with the "standard strand levels" and no NAs. Or to
fail.
BUG FIXES
- Tweaks and fixes to various "strand" methods: - Methods for
character vectors and factors do not
accept NAs anymore (they raise an error). - Methods for integer and
logical vectors map NAs to *
(instead of NA). - Method for Rle objects now also works on
character-, factor-, and integer-Rle
objects (in addition to logical-Rle objects).
genoset
-------
Changes in version 1.16.0:
NEW FEATURES
- cn2lr now has methods for vector, matrix, and DataFrame (of Rle) and
allows you to center your
log2ratio values on 2 copies, or on a specified 'ploidy' for your
sample.
DEPRECATED AND DEFUNCT
- The BAFSet and CNSet classes have moved from deprecated to defunct.
These classes only added
getter/setter methods for baf/lrr/cn. Since these only cover some
possible assayDataElements, it
is better to use x[i,j,k], where k is the name of an
assayDataElement.
- All RangedData-related things have now progressed to defunct. Please
use GRanges for locData and
everywhere else. Since the genoset package provides a common API for
GenoSet, GRanges, and
RangedData, I hope this will be a simple change for everyone.
- sampleNames and featureNames are now *un-deprecated*. Feel free to
use them. They just call
colnames and rownames, respectively. I have defined my own rownames
and colnames functions. The
eSet ones seem to do a lot of extra work, and the getter versions
read from the first
assayDataElement, rather than pData and fData. I changed to the
latter, so BigMatrix
assayDataElements will remain untouched until you really mean to
access them.
GGBase
------
Changes in version 3.25.1:
- plot_EvG will, for probeId() first argument, attempt to translate to
gene symbol for y axis
labeling
GGtools
-------
Changes in version 4.11:
- appraise and calfig are provided to foster evaluation of eQTL-based
GWAS hit predictions
- cisAssoc has been added to obtain assay data from
SummarizedExperiment and variants from VCF
- CisConfig instances keepMapCache now defaults to TRUE
- for naming symmetry we now have cisScores and transScores operating
on CisConfig and TransConfig
instances respectively
- Added transeqByCluster() for nested concurrency for trans searches
- Added TransConfig class to control trans searches, and modified
transScores accordingly
- Added hmm878, chromatin map of GM12878 for assessment of chromatin
state enrichments
- Added gffprocess(), of use when All.cis is used to generate chunk-
specific gff3: gffprocess uses
external sort/grep/tabix to unify the chunks into a single tabix-
indexed gff3
- pifdr() has been changed to avoid approximation on a grid and to
compute binning of permuted
scores more rapidly using hist(); old behavior recoverable with
legacy=TRUE
- ciseqByCluster() uses nested concurrency to perform cis searches
gmapR
-----
Changes in version 1.6.0:
NEW FEATURES
- Add median distance from nearest end (MDFNE) statistics to output of
variantSummary.
- Updated GSNAP, which is orders of magnitude faster than the previous
version, brings many fixes
and offers many new features. One new feature is the clip_overlap
argument, which clips
overlapping ends of read pairs (important for variant calling).
- Updated bam_tally, which is faster and includes support for counting
in soft-clipped regions.
USER-VISIBLE CHANGES
- Changes to tallyVariant statistics: drop the unique read position
counts; renamed
count.pos/count.neg to count.plus/count.minus (way better names)
- tallyVariants does a better job of carrying over the Seqinfo from
the BAM file.
GOSemSim
--------
Changes in version 1.21.3:
- fixed minor bug in combineMethods <2013-12-16, Mon>
graphite
--------
Changes in version 1.9.4 (2014-04-04):
- Updated Biocarta, KEGG, NCI and Reactome data.
- New databases: HumanCyc and Panther.
Gviz
----
Changes in version 1.8.0:
NEW FEATURES
- The new HighlightTrack class to add a comon highlighting region for
multiple tracks.
- The new OverlayTrack class to merge the panels of multiple tracks
into a single panel.
- The reverseStrand display parameter lets you plot the data relative
to the negative strand.
- The just.label display parameter adds control to the placement of
group labls in AnnotationTrack
and GeneRegionTrack objects.
- The box.legend display parameter to add a box around the legend in a
DataTrack object.
- extend.right and extend.left now also take relative expansion
factors (as values between -1 and
1).
- A new shape type fixedArrow for AnnotationTrack and GeneRegionTrack
objects, and the
arrowHeadWidth and arrowHeadMaxWidth parameters to better control
the arrow shapes.
- Display parameter schemes to persistently modify parameter settings.
- The new featureAnnotation and groupAnnotation parameters to better
control the feature and group
labels in AnnotationTracks.
- The new exonAnnotation and transcriptAnnotation parameters to better
control the exon and
transcript labels in GeneRegionTracks.
- The new AlignmentsTrack class to visualized aligned NGS reads in a
BAM file.
BUG FIXES
- A number of significant fixes.
SIGNIFICANT USER-VISIBLE CHANGES
- Some display parameter names have been reworked, but the old ones
should still work as aliases.
- Overplotting in AnnotationTrack and GeneRegionTrack objects has been
minimized to be able to make
better use of alpha blending. Also the way composite exons (e.g.
part UTR, part CDS) are plotted
has been changed. Those will now be merged into one feature as long
as the exon identifier is
identical and if they can be reduced into a single range wit
min.gapwidth=1.
gwascat
-------
Changes in version 1.7.6:
USER VISIBLE CHANGES
- bindcadd_snv has been added to bind CADD scores of Kircher et al.
2014 for SNVs to any GRanges
query
Changes in version 1.7.1:
USER VISIBLE CHANGES
- gwrngs is now serialized and explicitly made available in global
workspace on attachment
- gwcat data.frame is not generated on attachment
CHANGES PRIOR TO VERSION 1.7.1
- May 30 2012 -- improve makeCurrentGwascat to handle chrX and p.Value
suitably
GWASTools
---------
Changes in version 1.9.9:
- added block size support for GDS files stored with scan,snp
dimensions
- gdsSubset and gdsSubsetCheck now operate on the fastest dimension of
the GDS file
Changes in version 1.9.8:
- updates/bug fixes to gdsSubset/gdsSubsetCheck - different missing
value attributes may be set if
sub.storage type is different.
Changes in version 1.9.7:
- Added gdsSubset and gdsSubsetCheck functions to make a subset GDS
file that includes only
specified SNPs and scans from an existing GDS file
- Updated gdsImputedDosage and gdsCheckImputedDosage to account for
IMPUTE2 gprobs files that have
missing values (specified by three equal probability strings)
- Updated gdsCheckImputedDosage to produce optional logfile reporting
any missing genotypes
Changes in version 1.9.6:
- Revised anomFilterBAF - fewer centromere spanning anomalies that
aren't real, corrects some
merging issues (previously it would merge sections that really were
different split widths).
Users should be aware that this will increase running time.
Changes in version 1.9.5:
- Remove defunct functions.
- Improve efficiency of gwasExactHW, mendelErr, assocTestRegression
(reduce number of calls to
rbind).
Changes in version 1.9.4:
- Bug fix in getChromosome method for SnpAnnotationDataFrame (proper
behavior of unnamed "index"
argument).
Changes in version 1.9.3:
- Added gdsImputedDosage function.
- GdsGenotypeReader can return transposed genotypes.
Changes in version 1.9.2:
- ScanAnnotationDataFrame and ScanAnnotationSQLite allow non-integer
scanID.
- Fix getAlleleA and getAlleleB in GdsGenotypeReader to work with
indels.
Changes in version 1.9.1:
- Documentation now located in vignettes/ folder.
- Added ibdAssignRelationshipsKing.
- Added support for genotype GDS files with scan x snp dimensions in
GdsGenotypeReader.
HiTC
----
Changes in version 1.7.11:
NEW FEATURES
- Update NAMESPACE for BioC 2.14
BUG FIXES
- Fix a bug in the getRestrictionSitesPerChromosome and matchPattern
function (fixed=TRUE). If
FALSE, all 'N' are reported.
Changes in version 1.7.5:
NEW FEATURES
- Update for BioC 2.14
SIGNIFICANT USER-VISIBLE CHANGES
- Add fit.out parameter in the plotIntraDist to remove the outliers
during the regression
Changes in version 1.7.4:
SIGNIFICANT USER-VISIBLE CHANGES
- New parameter for normICE - spars.filter, to filter out the more
sparse bins before normlization
- Change the parameters of getAnnotatedRestrictionSites and
setGenomicFeatures functions
- Update of the setGenomicAnnotation function to fit with the original
HiCNorm method
BUG FIXES
- isSymmetrix - NA values
- Bug in definition of upstream and downstream flanking region for a
restriction site in
getAnnotatedRestrictionSites
Changes in version 1.7.3:
NEW FEATURES
- Add new normalization method for Hi-C data from Hu et al (HiCNorm).
This method is based on linear
regression model between interaction counts and sources of bias such
as GC content, mappability,
fragment length, etc. See normLGF(), setGenomicFeatures(),
getAnnotatedRestrictionSites().
- Add new normalization method for Hi-C data from Imakaev et al.(ICE).
The ICE procedure is an
iterative normalization method used to remove any bias from HiC
data.
- Add 'summary' method for HTCexp and HTClist objects
SIGNIFICANT USER-VISIBLE CHANGES
- Improve quality control methods based using sparse data
- Change method option for normPerTrans methods. The 'mean' method is
in fact a 'max' method
- Update of the export.my5C list format
BUG FIXES
- max (na.rm=TRUE) in mapC function
HTSeqGenie
----------
Changes in version 3.13.13:
- removed the "no job lefts" tests in test.sclapply()
Changes in version 3.13.12:
- now uses TP53Which() (instead of which.rds) for variant calling
tests
- now builds in BioC
Changes in version 3.13.11:
- now use TxDb.Hsapiens.UCSC.hg19.knownGene's version number in the
TP53 genomic feature cache file,
to avoid bugs when updating TxDb.Hsapiens.UCSC.hg19.knownGene
Changes in version 3.13.10:
- added an optional which config to limit VariantTools variant calling
to certain regions
Changes in version 3.13.9:
- NA
Changes in version 3.13.8:
- fixed the "as.vector(x, mode) : invalid 'mode' argument" bug by
adding the
"importFrom(BiocGenerics,table)" NAMESPACE directive
Changes in version 3.13.7:
- enable indelRealigner in runPipeline controlled by config value of
alignReads.do
Changes in version 3.13.6:
- set gatk.path in options if GATK_PATH env is set to an existing
file. This is mostly for allowing
the unit tests to know if and where a GATK is installed
Changes in version 3.13.5:
- require bamtally bugfixed version of gmapR
Changes in version 3.13.4:
- fixed bug in generateCountFeaturesPlots() when no genes left after
filtering. Practically only
happens for bacterial or viral genomes when every gene is hit more
than 200 times
Changes in version 3.13.3:
- now saving fragmentLength in summary_coverage.txt
- using Jinfeng's weighted mean to estimate fragmentLength
- removed the parallelization in saveCoverage (since saveCoverage is
used in parallel)
Changes in version 3.13.2:
- activate read trimming for illumina 1.5 quality using the 'B' as
qual indicator
Changes in version 3.13.1:
- deactived the unit tests (test.wrap.callVariants,
test.wrap.callVariants.parallel,
test.wrap.callVariants.rmsk_dbsnp) until VariantAnnotation is fixed,
to be able to compile
HTSeqGenie on BioC servers
Changes in version 3.13.0:
- change to new dev cycle version number
HTSFilter
---------
Changes in version 1.2.1:
- -- Minor bug fix for integeration in DESeq2 pipeline (which now has
automatic independent
filtering available) -- HTSFilter now accepts data with multi-factor
designs for all input types
illuminaio
----------
Changes in version 0.6.0 (2014-04-11):
- The version number was bumped for the Bioconductor release version,
which is now BioC v2.14 for R
(>= 3.1.0).
Changes in version 0.5.6 (2014-03-10):
- Added a CITATION file, cf. citation("illuminaio").
Changes in version 0.5.5 (2014-01-19):
- Added support for encrypted IDAT files where not all data fields are
of the same length e.g.
HumanHap550 v1.
Changes in version 0.5.2 (2013-11-05):
- moved testData to IlluminaDataTestFiles.
- Added unitTests for encrypted IDATs.
Changes in version 0.5.1 (2013-11-04):
- Resshuffled internal code in readIDAT_nonenc so that seek() is
always forward based.
Changes in version 0.5.0:
- The version number was bumped for the Bioconductor devel version.
- No updates.
inSilicoDb
----------
Changes in version 2.0.0:
NEW FEATURES
- Ability to access InSilico MySafe
- New methods make it now possible to check the accessibility of data
- Better integration of curated data
- Possibility to use SCAN and UPC normalizations
OTHER
- Changes in the API, check the documentation for more information
inSilicoMerging
---------------
Changes in version 1.8.0:
NEW FEATURES
- Possibility to use named lists instead of eSets, check the merge-
method documentation for an
example
BUG FIXES
- Measurements are now always sorted in the same order in phenoData
and exprs
OTHER
- Previous "NONE" method only available when not specifying a batch
effect removal method or by
specifying NULL.
intansv
-------
Changes in version 1.2.1:
Notes
- Add support to SV prediction programs Lumpy and softSearch.
- Modify methodsMerge to make it more robust.
- Modify all the read functions to coordinate methodsMerge.
isobar
------
Changes in version 1.9.3:
- allow the use of a combination matrix in NoiseModel reporterTagNames
- added function getProteinInfoFromTheInternet which automatically
recognizes Uniprot and Entrez
ACs. Set now as default 'protein.info.f' in the report
configuration.
- Overhauled isobar-analysis.Rnw
- use of ltxtables to allow optimal column widths (longer runtime,
however)
- use [[ instead of $ for accession of lists
- better column and grouping description
- allow report generation without a proteinInfo object
- set report cache directory to 'cache' (instead of '.') by default
- 1.9.3.2:
- mascotParser2.pl: allow to skip modif-conversion with -no-modiconv
- mascotParser2.pl: set --lightXML as default
- report generation: set combn.method="versus.channel", which computes
the ratios against the first
channel
- various PDF report improvements
- 1.9.3.3:
- report tables are written into tables which are loaded with LTxtable
report generation takes
longer now
- fixes in correct.peptide.ratios
- use combined protein group for peptide-protein mapping
- use only reporter proteins for mapping
- fix in creation of protein groups from template, subset by peptide
_and_ modif
Changes in version 1.9.2:
- fix issue of NA in 'n.spectra' when calculating summarized ratios
- various report improvements:
- use column of variable width to display class labels
- add attributes of quant table to summarized result table
- improved placement of tikz peptide group pictures
KEGGgraph
---------
Changes in version 1.21.1 (2013-10-17):
BUG FIXES
- mergeKEGGgraph can handle NULL objects now
- KEGGpathway2Graph eliminates duplicated edges so that
parseKGML2DataFrame does not fail. (Thanks
to Paul Shannon's bug report)
- Paul Shannon added a set of RUnit tests to KEGGgraph
limma
-----
Changes in version 3.20.0:
- New functions diffSplice(), topSplice() and plotSplice() provide
functionality to analyse
differential splicing using exon-level expression data from either
microarrays or RNA-seq.
- New Pasilla case study added to User's Guide, demonstrating
differential splicing analysis of
RNA-seq data.
- new function weightedLowess() which fits a lowess curve with prior
weights. Unlike previous
implementations of lowess or loess, the weights are used in
calculating which neighbouring points
to include in each local regression as well as in the local
regression itself.
- weightedLoess() now becomes the default method used by loessFit() to
fit the loess curve when
there are weights. The previous locfit and loess() methods are
offered as options.
- linear model fit functions lm.series(), mrlm.series() and
gls.series() no longer drop the
dimensions of the components of the fitted object when there is just
coefficient or just one gene.
Previously this was done inconsistently in some cases but not
others. Now the matrix components
always keep dimensions.
- The functions lmFit(), eBayes() and tmixture.vector() now work even
when there is just one gene
(one row of data).
- New function subsetListOfArrays(), which is used to simplify the
subsetting code for RGList,
MAList, EList, EListRaw and MArrayLM objects.
- new function tricubeMovingAverage() for smoothing a time series.
- barcodeplot() has a new option to add enrichment worms to the plot,
making use of
tricubeMovingAverage().
- New plot() methods for RGList, MAList, EList and MArrayLM class
objects. In each case, this
produces a similar result to plotMA(). When using plot() or plotMA()
on an MArrayLM object, the
column is now specified by the 'coef' argument instead of by
'array'.
- plotMA3by2() now works on single channel data objects as well as on
MAList objects.
- New function read.idat() to read files from Illumina expression
beadarrays in IDAT format.
- The ctrlpath argument of read.ilmn() now defaults to the same as
path for regular probes. This
means that only one path setting is required if the regular and
control probe profiles are in the
same directory.
- read.ilmn() now sets the same probe IDs as rownames for both the
expression matrix E and the
annotation data.frame genes, providing that the probe IDs are
unique.
- beadCountWeights() can now work with either probe-wise standard
errors or probe-wise standard
deviations.
- treat() has new arguments robust and winsor.tail.p which are passed
through to robust empirical
Bayes estimation.
- topTreat() now includes ... argument which is passed to topTable().
- topTable() with confint=TRUE now produces confidence intervals based
on the t-distribution instead
of on the normal distribution. It also now accepts a numeric value
for the confint argument to
specify a confidence level other the default of 0.95.
- topTable() will now work on an MArrayLM fit object that is missing
the lods component, for example
as produced by treat().
- roast() and mroast() now permit array weights and observation
weights to both be specified.
- camera(), roast() and mroast() now use getEAWP() to interpret the
data object. This means that
they now work on any class of data object that lmFit() will.
- romer() now uses propTrueNull(method="lfdr") instead of convest().
This makes it substantially
faster when the number of genes is large.
- genas() now uses fit$df.total from the MArrayLM object. This
prevents df.total from exceeding the
total pooled residual df for the dataset. The genas() results will
change slightly for datasets
for which df.prior was very lage.
- plotDensities() is now an S3 generic function with methods for
RGList, MAList, EListRaw and EList
objects.
- plotFB is now an S3 generic function with methods for RGList and
EList data objects.
- New topic help pages 10GeneSetTests.Rd and 11RNAseq.Rd. The page
10Other.Rd is deleted. All topic
help pages are now listed under 'See also' in the package
introduction page accessible by ?limma.
- avereps() was never intended to be applied to RGList or EListRaw
objects. It now gives an error
when applied to these objects instead of returning a matrix of
questionable value.
- Bug fix: fitFDistRobustly() was failing when there were missing
values or zero df values and
covariate was NULL.
- Bug fix: vennDiagram() wasn't passing extra arguments (...) to
plot() when the number of sets was
greater than 3.
- Bug fix to topTreat(). Rownames were incorrectly ordered when p<1.
- bug fix to genas(), which was not handling vector df.prior correctly
when the fit object was
generated using robust=TRUE.
- bug fix to squeezeVar(). Previously there was an error when
robust=TRUE and trend=FALSE and some
of the estimated df.prior were infinite.
- bug fix to topTable() and topTableF() when sorting by F-statistic
combined with p-value or lfc
cutoffs.
metagenomeSeq
-------------
Changes in version 1.5 (2014-04-17):
- Incorporating biom-format support with the biom2MRexperiment,
MRexperiment2biom and load_biome
function.
- Added uniqueFeatures, filterData, aggregateByTaxonomy / aggTax,
plotFeature and
calculateEffectiveSamples functions.
- Renamed MRfisher to fitPA (presence-absence fisher test).
- Added warnings for normalization
- Added fitDO (Discovery odds ratio test) and fitMeta (original
metastats).
- Added match.call() info to fitZig output
- Fixed missing E-Step bounds
metaMS
------
Changes in version 0.99.8:
- fixed documentation for previous fix...
Changes in version 0.99.7:
- fixed incomplete GC settings
Changes in version 0.99.6:
- replaced paste(..., "/") with file.path() in runLC.Rnw
metaseqR
--------
Changes in version 1.0.0 (2014-04-11):
NEW FEATURES
- Function to calculate the F1-score (or harmonic mean of precision
and recall)
- Mature and tested enough to go from 0.x.y version to 1.0.0
Changes in version 0.99.6 (2014-04-09):
NEW FEATURES
- Example on how to estimate statistical test weights in the vignette
BUG FIXES
- Bug when exporting flags when gene or exon filters are NULL
Changes in version 0.99.5 (2014-03-31):
NEW FEATURES
- Changed directory structure of the report to look more organized and
pro
- Added the ability to save and retrieve the gene model counts list
(counts for each exon) in an
.RData file to be reused in another analysis later, as summarizing
genes is one of the most
time-consuming parts.
BUG FIXES
- Minor problems with the report
Changes in version 0.99.4 (2014-03-18):
BUG FIXES
- Removed all <<- assignments
- Changed the Depends of DESCRIPTION file to import less packages in
the main environment
- Added qvalue package to Depends as there was a problem with NBPSeq
Changes in version 0.99.3 (2014-03-17):
NEW FEATURES
- Function to check and warn if a main metaseqr argument is invalid
(may prevent crashes during run)
BUG FIXES
- Small bug fix in read2count function
Changes in version 0.99.2 (2014-03-14):
NEW FEATURES
- Ability to display only the top x% of significant genes to avoid
excessively big reports
BUG FIXES
- More code and codestyle changes to comply with Bioconductor's
guidelines
Changes in version 0.99.1 (2014-03-12):
NEW FEATURES
- Ability to export counts table (raw and normalized) when reading
from BAM files or just normalized
otherwise
- Valid examples for many functions
BUG FIXES
- More code and codestyle changes to comply with Bioconductor's
guidelines
Changes in version 0.99.0 (2014-02-21):
NEW FEATURES
- Support for Pan troglodytes
- Improved the simulator to i) simulate length bias and ii) better
length selection
BUG FIXES
- Code changes to comply with Bioconductor's guidelines
Changes in version 0.93.0 (2014-02-12):
NEW FEATURES
- Support for Arabidopsis thaliana
- Additional validation functions
BUG FIXES
- Bugs affecting multilevel factorial analysis (single factor, more
than two conditions)
- Smaller bug fixes
Changes in version 0.92.0 (2014-01-25):
NEW FEATURES
- Functions to estimate weights for combining p-values based on
simulated datasets from real data
BUG FIXES
- Smaller bug fixes
Changes in version 0.91.0 (2014-01-03):
NEW FEATURES
- Functions to create simulated datasets
- Functions to create false discovery and ROC curves
BUG FIXES
- A bug in p-value vector naming causing unordered p-values for limma
and baySeq when combining
methods
- Smaller bug fixes
Changes in version 0.9.1 (2013-11-27):
NEW FEATURES
- Permutation methods for combining p-values from multiple statistics
- More interactive and compact report
BUG FIXES
- A bug in exon filters resulting in removing genes/transcripts with
only one exon
- A serious bug in exon filters causing wrong genes to be filtered out
under circumstances
Changes in version 0.9.0 (2013-11-21):
NEW FEATURES
- First release
MIMOSA
------
Changes in version 0.99.2:
- Added unit tests
- Passing BiocCheck
- Remove dependency on `multicore`. Now `parallel` only.
Changes in version 0.9.12:
- MIMOSA now returns a MIMOSAResultList S3 class. A lightweight
wrapper for a list, with methods
defined to extract the `fdr` and `pData`, `getW`, and `getZ` to
extract the component weights and
posterior probabilities, respectively.
- `print` for `MIMOSAResult` and `MIMOSAResultList`
- extractors for `countsTable`, the table of counts used to fit the
model. Takes an argument to
return the proportions or the counts.
- MIMOSA checks throws a more informative warning if the data is
filtered into oblivion when not
properly paired (e.g. when the user doesn't aggregate over replicate
negative controls, for
example. )
- `volcanoPlot` implemented for MIMOSAResultList
- Cleaned up package warnings and notes.
- Cleaned up imports and depends.
Changes in version 0.9.9:
- Bug Fixes ** Filtered out empty categories on the conditioning
variables. ** Support for parallel
as well as multicore
- News ** multicore support (via the multicore package) will be phased
out in favor of the parallel
package.
Changes in version 0.8.0:
- Model fitting via the 'MIMOSA' function
- Data represented via an ExpressionSet
- Formula interface support
- Removed old code, including ICS class, and dependencies upon it.
- New documentation
Changes in version 0.7.0:
- First beta release of MIMOSA
- model fitting via MCMC through the .fitMCMC function
minfi
-----
Changes in version 1.9:
- Importing the changes from 1.8 into 1.9.
- Added the withColor argument to the getProbeType function, which
allows the return of "IGrn",
"IRed", "II", instead of only "I", "II".
- Added asList argument to getControlAddress to return result as a
list.
- Moved reshape from Depends to Imports.
- Dramatic improvement in memory usage of preprocessRaw.
- Updated CITATION, the minif paper is in press.
- Fixed bug with mapToGenome(..., mergeManifest = TRUE) reported by
Dale Watkins
<dale.watkins at="" sahmri.com=""> and Allegra A. Petti <apetti at="" genome.wustl.edu="">.
- Fixed bug with mapToGenome(rSet) with rSet being a RatioSet with the
CN set to NULL reported
byAllegra A. Petti <apetti at="" genome.wustl.edu="">.
- Added preprocessFunnorm, a new preprocessing method.
- Improvements to the speed of getAnnotation by Martin Morgan
<mtmorgan at="" fhcrc.org="">.
MotifDb
-------
Changes in version 1.5.9:
NEW FEATURES
- JASPAR_2014 added, with 592 motifs
motifStack
----------
Changes in version 1.7.7:
NEW FEATURES
- No changes classified as 'new features' (package under active
development)
- add ic.scale parameter to plotMotifLogo.
BUG FIXES
- Fix bugs for motifSignature when the distance is larger than maximal
distance.
- No changes classified as 'bug fixes' (package under active
development)
Changes in version 1.7.6:
NEW FEATURES
- Change the class of signature to include the color sets.
BUG FIXES
- Allow motifSignature to accept Non-Binary Trees.
Changes in version 1.7.5:
NEW FEATURES
- Change the output of motifStack for further steps.
BUG FIXES
- No changes classified as 'bug fixes' (package under active
development)
Changes in version 1.7.3:
NEW FEATURES
- Change the output of readPCM from a matrix to a list of pcm objects.
BUG FIXES
- No changes classified as 'bug fixes' (package under active
development)
Changes in version 1.7.2:
NEW FEATURES
- No changes classified as 'new features' (package under active
development)
BUG FIXES
- fix the bugs of changing plot layout when using
plotMotifLogoStackWithTree
Changes in version 1.7.1:
NEW FEATURES
- No changes classified as 'new features' (package under active
development)
BUG FIXES
- fix the bugs of leave names and plot region
MSnbase
-------
Changes in version 1.11.14:
- update dependency to R >= 3.1 [2014-04-05 Sat]
Changes in version 1.11.13:
- Document [get|grep]Ecols in io vignette [2014-03-31 Mon]
- typo in readMSnSet man [2014-03-31 Mon]
- updated affiliation in vignettes [2014-03-31 Mon]
Changes in version 1.11.12:
- Fixed a bug in readMzTabData reported by Hendrik Weisser [2014-03-26
Wed]
Changes in version 1.11.11:
- precomputed msx test data now has id data [2014-03-25 Tue]
- quantitation unit tests [2014-03-25 Tue]
- quantify method now accepts label-free methods [2014-03-25 Tue]
Changes in version 1.11.10:
- import mzID [2014-03-20 Thu]
- dummyiTRAQ id extdata [2014-03-21 Fri]
- add addIdentificationData method for MSnExp and MSnSet [2014-03-21
Fri]
- using data from pRolocdata (was pRoloc) [2014-03-23 Sun]
- added removeNoId,MSnExp,MSnSet methods [2014-03-23 Sun]
- added idSummary,MSnExp,MSnSet methods [2014-03-24 Mon]
- Not generating different sample per file when reading raw data.
pData(.) now has systematically 1
row if not specifically provided by the user. A message is also
reported by validity,pSet if
row(pData(.)) > 1. [2014-03-24 Mon]
- NAnnotatedDataFrame now has default multiplex 1 [2014-03-25 Tue]
- NAnnotatedDataFrame unit tests [2014-03-25 Tue]
Changes in version 1.11.9:
- write.exprs can have fDataCol or fcol (for consistence) [2014-03-17
Mon]
- Fixing bug in combineFeatures(..., is.character(groupBy))
[2014-03-19 Wed]
- fixed combineFeatures [2014-03-20 Thu]
- added example, test and doc for combineFeatures with list
[2014-03-20 Thu]
Changes in version 1.11.8:
- adding redundancy handling to combineFeatures (by vladpetyuk, pull
request #18) [2014-03-14 Fri]
- updated combineFeatures signature to accomodate above changes
[2014-03-14 Fri]
- updated unit tests for new testhat 0.8 [2014-03-14 Fri]
Changes in version 1.11.7:
- NA
Changes in version 1.11.6:
- add corresponding xcms functions to the chromatogram and xic manual
page [2014-02-21 Fri]
- new bpca imputation methods [2014-02-27 Thu]
- replacing stop_on_error with option in vignette [2014-02-27 Thu]
Changes in version 1.11.5:
- typo in MSnSet droplevels man [2014-01-27 Mon]
- typo in MSnbase-demo vignette [2014-02-20 Thu]
- fix BPI legend in chromatogram [2014-02-20 Thu]
Changes in version 1.11.4:
- passing ... to sweep when normalising [2013-12-08 Sun]
- updated makeMTD to accomodate new MS ontology [2013-12-23 Mon]
Changes in version 1.11.3:
- updated mzTab example files to new url [2013-11-15 Fri]
- warning about mzTab versions [2013-11-15 Fri]
Changes in version 1.11.2:
- move inst/doc to vignettes [2013-10-19 Sat]
Changes in version 1.11.1:
- document na.rm in combineFeatures Rd [2013-10-18 Fri]
Changes in version 1.11.0:
- New devel version for Bioc 2.14
MSstats
-------
Changes in version 2.1.3:
- fix the groupComparison for label-free experiments.
- automatically generate progress report as .txt files
- add progress message for groupComparison and dataProcessPlots
function.
Changes in version 2.1.1:
- fix the bug in Condition plot : 1. for label-based : match reference
and endogenous 2. for
label-free : when there is one observation in each group, SD=NA.
make it zero.
- fix the bug in heatmap and comparison plots : remove NA result for
plotting
- fix the bug for label-free groupComparison : how to get
subject_nested parameter in
make.contrast.free for unequal number per group
- fix the bug in group quantification :
make.contrast.group.quantification fixed for subject_nested
parameter
mzID
----
Changes in version 1.1.6:
- Added documentation
Changes in version 1.1.5:
- Now computes mzR compatible acquisitionNum for the scans (thanks to
Sebastian Gibb)
- Checks for existence of local files (thanks to Sebastian Gibb)
- XML moved from depend to import
Changes in version 1.1.4:
- Now computes mzR compatible acquisitionNum for the scans (thanks to
Sebastion Gibb)
- Various bug fixes
Changes in version 1.1.3:
- Introducing the mzIDCollection class to handle multiple mzID objects
Changes in version 1.1.2:
- Added the possibility to create the different 'sub'classes of mzID
directly from a file without
first having an internal xml representation and namespace
Changes in version 1.1.1:
- Fixed bug where multiple names in the modification rules would crash
the parsing. Multiple names
gets collapsed with '/'
mzR
---
Changes in version 1.9.8:
- Pointing to the relevant wiki page in the Rcpp compiler/linker
warning [2014-04-03 Thu]
Changes in version 1.9.7:
- modify to new biocViews to DESCRIPTION file (s.arora)
Changes in version 1.9.6:
- import all of Rcpp to avoid warnings in reverse dependencies
<2014-02-14 Fri>
Changes in version 1.9.3:
- fix a string in ramp.cpp to enable compilation on clang-3.4
Changes in version 1.9.2:
- version bump for Rcpp 0.10.6 <2013-10-30 Wed>
Changes in version 1.9.1:
- moved vignettes to /vignettes <2013-10-17 Thu>
nondetects
----------
Changes in version 0.99.2:
BUG FIXES
- Added informative NEWS file.
- Added version information to DESCRIPTION file.
Changes in version 0.99.1:
BUG FIXES
- Changes in coding style to make package consistent with
Bioconductor.
- New biocViews added to package.
- Added importing of pData from Biobase package.
- Added unit tests.
Changes in version 0.99.0:
- Package released.
npGSEA
------
Changes in version 0.99.0:
- Package submitted to Bioconductor (March 31 2014)
pathview
--------
Changes in version 1.3.6:
- ajusted node x coordinate by +0.5 to better fit the color blocks in
2 layer native kegg views.
Changes in version 1.3.4:
- updated bods to included an extra column of id.type, the default
gene ID type.
Changes in version 1.2.4:
- updated korg to included over 600 newly added species. Pathview can
work with 2970 species now.
- Make returned values from pathview, keggview.native and
keggview.graph functions invisible.
Changes in version 1.2.3:
- Fixed bug in node.map function, which produces 0 values when all
multiple genes in a node are
NA's.
Changes in version 1.2.2:
- Fixed bug in mol.sum function, which generates "incorrect number of
dimension" or NA's when
sum.method="median" etc.
Changes in version 1.2.1:
- Fixed bug in "missing red disease gene node labels" in diease
pathways. To avoid interfering with
node coloring, set all disease gene labels to black instead.
phyloseq
--------
Changes in version 1.7.24:
USER-VISIBLE CHANGES
- Added support for [Partial] Constrained Analysis of Principal
Coordinates (CAP).
- A supported/documented option in `ordinate`, supported by
`plot_ordination`.
- This solves [Issue
312](https://github.com/joey711/phyloseq/issues/312).
- The `ordinate` function now takes an explicit `formula` argument.
- This facilitates reliable contrained ordination calls for:
- CAP (this commit)
- RDA (partial redundancy analysis)
- CCA (constrained correspondence analysis)
Changes in version 1.7.23:
USER-VISIBLE CHANGES
- Refactor `plot_ordination` to be more stable, error less and give
informative warnings.
- Expect no critical API changes. Some errors now informative warnings
with useful auto-changes to
parameters.
- The `type='biplot'` option no longer hard-specifies a discrete color
scale. Available default
pallette should work.
- For `type='biplot'`, the non-variable (Taxa or Sample) label will
always appear first in a
discrete legend.
Changes in version 1.7.22:
USER-VISIBLE CHANGES
- Revised psmelt to automatically modify data column-name conflicts,
with warning
- Udpated `psmelt` doc to formally notify users of these potential
conflicts.
- This solves Issue 307:
https://github.com/joey711/phyloseq/issues/307
Changes in version 1.7.21:
USER-VISIBLE CHANGES
- Updated `import_qiime` doc to emphasize it is intended for legacy
QIIME files.
- Much faster and mem-efficient import of legacy QIIME and usearch
files.
- Uses data.table syntax to better manage import of large files.
- Entire HMPv35 now imports in about 1 minute, low risk of mem-swap.
- Added dependency to data.table
Changes in version 1.7.20:
USER-VISIBLE CHANGES
- No user-visible changes. All future compatibility changes.
BUG FIXES
- Unit test changes to work with upcoming R release and new testthat
version.
Changes in version 1.7.19:
USER-VISIBLE CHANGES
- Documentation revisions. Faster examples, updated links.
Changes in version 1.7.18:
USER-VISIBLE CHANGES
- Fix minor bug that prohibited parallel execution of weighted UniFrac
Changes in version 1.7.17:
USER-VISIBLE CHANGES
- Added `import_usearch_uc` Added first-time support for usearch ?.uc?
style output table.
Addresses Issue 286, importing from UPARSE.
https://github.com/joey711/phyloseq/issues/286
Further feedback on performance, use-cases, should be posted there.
Changes in version 1.7.16:
USER-VISIBLE CHANGES
- Fixed minor bug affecting legend-order in `plot_network` Issue 288,
https://github.com/joey711/phyloseq/issues/288
Changes in version 1.7.15:
USER-VISIBLE CHANGES
- `tip_glom` now uses standard R clustering tools, and takes their
arguments documentation and tests
updated to reflect the change much simpler, faster
- `merge_taxa` now uses abundance to determine the achetype by
default. Previously arbitrary.
Changes in version 1.7.14:
USER-VISIBLE CHANGES
- Minor change in mixture model vignette, revised graphic
Changes in version 1.7.13:
USER-VISIBLE CHANGES
- Deprecated originalUniFrac() internal function old (original)
unifrac algorithm no longer
supported. Addresses Issue 66:
https://github.com/joey711/phyloseq/issues/66
Changes in version 1.7.12:
USER-VISIBLE CHANGES
- Formal deprecation of functions using .Deprecated Issue 269,
https://github.com/joey711/phyloseq/issues/269
- Fixed bug in interface with vegan::fisher.alpha(..., se=TRUE).
vegan doc states that this returns
a data.frame, but a data.frame is not returned in vegan version
1.7.10. phyloseq no checks output
dimensions before processing in `estimate_richness`
- Replaced deprecated functions in tests and documentation.
Changes in version 1.7.11:
USER-VISIBLE CHANGES
- Adds warning in make_network() and error in plot_network if empty
graph encountered Issue 275,
check/warning for empty igraph objects
https://github.com/joey711/phyloseq/issues/275
- rarefy_even_depth() messages changed from cat() to messages(), and
optional verbose argument added
https://github.com/joey711/phyloseq/issues/263
Changes in version 1.7.10:
USER-VISIBLE CHANGES
- Fixes build-error originating from change in ade4 NAMESPACE in
version 1.6.2
- Change minimum ade4 version to 1.6.2
- Uncommented examples now included in documentation for DPCoA
function
Changes in version 1.7.9:
USER-VISIBLE CHANGES
- Fixed typo-derived bug in new vignette.
- These changes allow user to build from source without error.
Changes in version 1.7.8:
USER-VISIBLE CHANGES
- Package dependencies reduced/clarified:
https://github.com/joey711/phyloseq/issues/259 Should
reduce chances for collisions with other packages, and related
issues. Removed any dependencies
on the picante package.
- Replaced picante::node.age() with a faster implementation,
node_ages() Appears to be 3 times
faster. Speeds up UniFrac() and tip_glom() calculations.
Changes in version 1.7.7:
USER-VISIBLE CHANGES
- Tree fixes: https://github.com/joey711/phyloseq/issues/235
https://github.com/joey711/phyloseq/issues/255
- If a tree has NA branch-length values, they are automatically set to
0. This occurs within both
phyloseq(), and read_tree().
- UniFrac calculations require a rooted tree. While a rooted tree is
not required to be part of a
phyloseq object, it is a helpful default behavior to select a random
root when UniFrac is called
and the tree is unrooted, flashing a notice to the user.
- Precise import from ape-package, rather than full-import. Smaller
chance for collisions.
Precisely-defined dependencies listed in NAMESPACE
- As a result of the previous, phyloseq defines a placeholder "phylo"
class, extended from "list".
This seems to match the class from a full import of ape, and is
necessary since ape does not
export the "phylo" class.
Changes in version 1.7.6:
USER-VISIBLE CHANGES
- Merged branches 1.7.4 and 1.7.5
Changes in version 1.7.5:
NEW FEATURES
- User-specified axis ordering to plot_heatmap()
- User-specified axis edges to plot_heatmap()
- This addresses: [Issue
237](https://github.com/joey711/phyloseq/issues/237) [Issue
230](https://github.com/joey711/phyloseq/issues/230)
USER-VISIBLE CHANGES
- New arguments to plot_heatmap(): `taxa.order`, `sample.order`,
`first.sample`, `first.taxa`
Changes in version 1.7.4:
NEW FEATURES
- import_mothur now handles more formats
- Added documentation to discourage .group/.list formats
Changes in version 1.7.3:
NEW FEATURES
- Added phyloseq_to_deseq2() wrapper function and examples for
computing multiple OTU tests using
Negative Binomial model and GLM (DESeq2).
USER-VISIBLE CHANGES
- Also added new .Rmd vignette for using DESeq, with colorectal
carcinoma data
Changes in version 1.7.2:
USER-VISIBLE CHANGES
- Reformat NEWS (this) file.
Changes in version 1.7.1:
USER-VISIBLE CHANGES
- Rmd/HTML-based vignettes. No more Rnw/Sweave/PDF
- Updated installer
piano
-----
Changes in version 1.4.0:
NEW FEATURES
- Added argument plot to consensusHeatmap() so that drawing the
heatmap can be suppressed but the
corresponding numerical matrix can be saved.
- Added argument cellnote to consensusHeatmap() so that the
information inside each cell of the
heatmap can be chosen to be either the consensus scores (as
previously), the median p-values, the
number of genes or empty.
- Added a matrix nGenesMat to the output of consensusHeatmap()
containing the same information as
printed in the heatmap if argument cellnote="nGenes".
- Added arguments columnnames, colorkey, colorgrad and cex to
consensusHeatmap() for better control
of the column labels, toggling of the colorkey, color selection and
text size.
- Introduced the new function GSAheatmap(), which is similar to
consensusHeatmap() but for only a
single gene set result (gsaRes object).
BUG FIXES
- Fixed a bug which for some settings of runGSA would not output
number of up- and downregulated
genes in the gene sets.
DOCUMENTATION
- Updated consensusHeatmap() man page according to new changes in the
function.
- Added man page for GSAheatmap().
plethy
------
Changes in version 1.1.3:
NEW FEATURES
- Added 'summaryMeasures' method.
- Added experimental heatmap-like plotting functionality
'plethy:::mvtsplot'
procoil
-------
Changes in version 1.13.2:
- cleared up package dependencies and namespace
- reference to Bioconductor Git-SVN bridge
- minor corrections to vignette
pRoloc
------
Changes in version 1.3.19:
- fixed error introduced with mclust 4.3 (that now returns the data in
the Mclust output - see
comment in pRoloc:::gmmOutliers for details) [2014-04-07 Mon]
Changes in version 1.3.18:
- getPredictions can take class-specific scores [2014-04-04 Fri]
Changes in version 1.3.17:
- fixed newly introduced bug (see 1.3.16) in
pRoloc:::subsetAsDataFrame - thank you unit tests for
saving me, again [2014-03-26 Wed]
Changes in version 1.3.16:
- pRoloc:::subsetAsDataFrame now preserved original sample/column
names [2014-03-24 Mon]
- fixed wrong message when using col and pch in plot2D [2014-03-25
Tue]
Changes in version 1.3.15:
- updated pRolocmarkers("mmus") [2014-03-21 Fri]
- moved extdata/*csv to pRolocdata [2014-03-23 Sun]
- using *csv from pRolocdata [2014-03-23 Sun]
Changes in version 1.3.14:
- deleted tab character [2014-03-15 Sat]
- added support for GMM parametrisation to phenoDisco [2014-03-17 Mon]
- message instead of warning when using colour and pch [2014-03-21
Fri]
- remove 1 duplicated mouse marker [2014-03-21 Fri]
Changes in version 1.3.13:
- fixed a bug in addLegend [2014-03-14 Fri]
- updated testing to testthat 0.8 [2014-03-14 Fri]
- Fixing several warnings about symnbols being replaced upon pRoloc
loading and note about usage of
::: [2014-03-15 Sat]
Changes in version 1.3.12:
- added phenoDisco2 for testing, allows choice of GMM parameters
[2014-02-26 Wed]
- removed duplicated fly markers [2014-02-28 Fri]
- updated affiliations in vignettes [2014-03-10 Mon]
Changes in version 1.3.11:
- modify to new biocViews to DESCRIPTION file by s.arora [2014-03-04]
Changes in version 1.3.10:
- new phenoDisco ndims argument to use more than two two principal
components as input for discovery
analysis [2014-01-03 Mon]
- fixed and updated phenoDisco logging [2014-02-03 Mon]
- added support for parallel phenoDisco execution. See BPPARAM
argument [2014-02-03 Mon]
- fixed issues with using PD and ndims [2014-02-10 Mon]
- fixed call to anyUnknown in PD code [2014-02-10 Mon]
- checking if duplicated markers in addMarkers [2014-02-14 Fri]
Changes in version 1.3.9:
- bump to force rebuild for new Rcpp
Changes in version 1.3.8:
- Removed trailing space in mmus nucleus markers [2014-01-21 Tue]
- using filterNA to remove features with missing values in plot2D
[2014-01-21 Tue]
- fixed plot2D/addLegend [2014-01-23 Thu]
Changes in version 1.3.7:
- fixed addLegend to use correct colours (order) [2014-01-20 Mon]
- fix typo in addMarkers man [2014-01-20 Mon]
- re-arranged stockpch so that interleave full and empty plotting
character [2014-01-20 Mon] 0
Removed last stockcol (tomato), too cose to "#FF7F00" [2014-01-20
Mon]
Changes in version 1.3.6:
- updated human markers: keep new pd.markers phenotypes, validated by
Lisa and remove singletons
[2014-01-14 Tue]
- first stockpch is noe 19 [2014-01-16 Thu]
- plot2D(.., pch) now taken into account for labelled data [2014-01-16
Thu]
- removed alpha plot2D argument [2014-01-17 Fri]
- updated plot2D and addLegend function with support for more
organelle groups than colours. The
previous versions are available as plot2D_v1 and addLegend_v1.
[2014-01-17 Fri]
Changes in version 1.3.5:
- pRoloc citation [2014-01-12 Sun]
Changes in version 1.3.4:
- new unknownSet function [2013-12-11 Wed]
- updated vignettes to account for tan2009r1 changes [2013-12-16 Mon]
Changes in version 1.3.3:
- update citation in phenoDisco.Rd [2013-11-22 Fri]
- typos in vignettes [2013-11-25 Mon]
Changes in version 1.3.2:
- new markers [2013-11-06 Wed]
- markers in vinette [2013-11-15 Fri]
- mouse markers [2013-11-18 Mon]
Changes in version 1.3.1:
- using combineFeatures(..., na.rm=TRUE) in lopims pipeine [2013-10-22
Tue]
- corrected spelling errors in phenoDisco doc [2013-10-29 Tue]
Changes in version 1.3.0:
- next devel version fot Bioc 2.14
PWMEnrich
---------
Changes in version 3.5:
- After further testing revert back to PWMEnrich 2.x group P-value
algorithm
- Introduced group sorting by top motifs
Changes in version 3.1.4:
- New way of estimating P-value for groups of sequences. Note this
will produce different P-values
for groups of sequences than PWMEnrich 2.x !
QDNAseq
-------
Changes in version 1.0.0 (2014-04-14):
INITIAL RELEASE
- initial release as part of Bioconductor 2.14
qpgraph
-------
Changes in version 1.20:
USER VISIBLE CHANGES
- Functions qpRndHMGM() and qpSampleFromHMGM() which were defunct in
the previous release, are now
removed from the package.
- The execution of function qpGetCliques() can be now interrupted with
CTRL+C and should allow to
process GUI events.
- Function qpBoundary() with argument logscale.bdsize=TRUE now handles
plotting of boundaries of
size 0 by setting them to 1 (=log(1)=0) for plotting purposes only.
NEW FEATURES
- Function qpCItest() when assuming a mixed GMM returns the fraction
of variance explained (partial
eta-squared) as estimate. See manual page for further details.
BUG FIXES
- Several bugfixes related to the simulation of mixed GMMs and eQTL
networks.
QuasR
-----
Changes in version 1.4.0:
NEW FEATURES
- new arguments mapqMin and mapqMaxm in qCount, qProfile, qMeth and
qExportWig allow to select
alignments based on mapping quality
- qAlign gains checkOnly argument which allows checking for existing
alignments without triggering
new alignments in case of missing ones
r3Cseq
------
Changes in version 1.9.2 (2013-11-11):
- fixed the bugs in function getFragmentsPerWindow for "overlapping
window"
Changes in version 1.9.1 (2013-10-21):
- added the yLim input parameter of plotInteractionsNearViewpoint
- added the log2 cutoff ratio for the function
plotInteractionsNearViewpoint
- fixed the shift of interaction in the viewpoint chromosome found in
the function
getFragmentsPerWindow
- fixed the missing input parameter for the function
getBatchReadCountPerWindow
- fixed the class of r3CseqInBatch
RamiGO
------
Changes in version 1.9.5:
- RamiGO is now using AmiGO v2 Visualize as the default web server.
Changes in version 1.9.1:
- added citation information. Please cite
http://bioinformatics.oxfordjournals.org/content/29/5/666.full
Rariant
-------
Changes in version 1.0.0:
- First stable release with Bioconductor 2.14 (2014-04)
rBiopaxParser
-------------
Changes in version 2.1.7:
- BUGFIX: fixed setkey for parsed biopax models
- BUGFIX: fixed possible uses of complete URLs for ids (e.g. in
PathwayCommons)
- BUGFIX: fixed parameter checking failing due to data.table version
1.9.2. This will be fixed
anyways when data.table 1.9.3. is out.
Changes in version 2.1.5:
- BUGFIX: Fixed several bugs relating to the default BioPAX version
parameter biopaxlevel.
- The package requires R >= 3.0 due to data.table requiring Reshape2,
requiring plyr, requiring
Rcpp. :-(
Changes in version 2.1.3:
- BUGFIX: Switched from rep_len to rep in order to continue R<3.0
support.
Changes in version 2.1.1:
- Attention: This is a major update and might introduce backwards
incompatibility to previously
parsed data!
- Speed issues in previous versions were common with huge databases
like Reactome or PathwayCommons,
and with search & replace operations in the internal data.frame.
- The data.table package is now required and imported for
rBiopaxParser.
- The internal data model has been switched from data.frame to
data.table to speed up working with
the rBiopaxParser.
- The "df" slot of the biopax object, a data.frame object, is gone.
Use the "dt" slot, a data.table,
to directly access to biopax data.
- If you work with the "df" slot of the biopax object in your current
code, you have to make
yourself comfortable with using the data.table syntax!
- All functions which return a subset of the internal data, return a
data.table object now.
- A long standing bug of deeply nested XML instances has been fixed.
See
http://permalink.gmane.org/gmane.science.biology.informatics.conduct
or/48534
- The default parameter specifying the Biopax Level (usually called
biopaxlevel) has been changed
and defaults to 3 now.
- Functions selectInstances, getInstanceProperty, getReferencedIDs,
splitComplex, getInstanceClass
and many others now acceps either a biopax object or a compatible
internal data.table.
Changes in version 1.3.3:
- fixed download links. Added links for the NCI databases with fixed
XML encoding ( see discussion
at http://sourceforge.net/mailarchive/message.php?msg_id=30106560)
- added TemplateReactionRegulation to be plotted in
pathway2RegulatoryGraph
- future versions will likely switch to data.table support to deal
with huge BioPAX databases from
Reactome et al
RDAVIDWebService
----------------
Changes in version 1.1.4:
BUG FIXED
- `getFunctionalAnnotationChartFile` bug was fixed. Now threshold and
count parameter works as
supposed (Thanks to Ulrik Stervbo)
Changes in version 1.1.3:
MINOR CHANGES
- Added again into the repository.
Changes in version 1.1.2:
CODE CHANGES
- In setAs(from="data.frame", to="DAVIDFunctionalAnnotationChart")
function PValue field force to
numeric data type (thanks to Marc Carlson)
NEW FEATURES
- Apache Axis time out parameter modification set/getTimeOut
- Apache Axis http protocol version parameter modification
set/getHttpProtocolVersion
DOCUMENTATION
- Vignette Trouble shooting section added with apache axis parameter
examples.
Changes in version 1.1.1:
DOCUMENTATION
- CITATION file was included.
- Minor updates to DAVIDWebService-class and DAVIDWebService-package
man pages and Roxygen2 quotes,
in order to include the article citation.
- Vignette email parameter invocation corrected.
CODE CHANGES
- DAVIDWebService initialize email parameter order modification
(email, ..., url)
DEPENDENCY CHANGES
- Category, GO.db, RBGL and rJava packages were moved to import.
- NAMESPACE file updated accordingly.
Changes in version 1.1.0:
MINOR CHANGES
- Bump y in version x.y.z to odd number in 2.14 devel
ReactomePA
----------
Changes in version 1.7.2:
- bug fixed for multi-organisms support <2013-12-09, Mon>
RedeR
-----
Changes in version 1.12.0:
- Improved interactive layout algorithm.
- User interface is simplified, some shortcuts have been added.
- Final release cycle of deprecated functions moved to the
addGraph/getGraph related methods.
- Deprecated plugin builder methods have been removed.
RefNet
------
Changes in version 1.0.0:
NEW FEATURES
- Two sets of interactions, retrieved automatically from the
AnnotationHub, in addition to the many
provided by PSICQUIC: - gerstein-2012: "Architecture of the human
regulatory network derived from
ENCODE data", Gerstein et al, pmid 22955619 - hypoxiaSignaling-2006:
"Hypoxia signalling in cancer
and approaches to enforce tumour regression", Pouyssgur et al, pmid
16724055
- These interactions have been expressed in the standard RefNet
19-column format for easy querying.
- a.canonical
- b.canonical
- relation
- bidirectional
- detectionMethod
- pmid
- a.organism
- b.organism
- a.common
- a.canonicalIdType
- b.common
- b.canonicalIdType
- cellType
- a.modification
- a.cellularComponent
- b.modification
- b.cellularComponent
- provider
- comment
ReQON
-----
Changes in version 1.9.1:
- Minor changes were made to the vignette. September 4, 2012 Our
manuscript describing ReQON has
been published in BMC Bioinformatics. Refer to this paper for
further description of the ReQON
algorithm and a comparison with other quality score recalibration
algorithms. Please cite this
paper if you use our package. Cabanski CR et al. (2012) ReQON: a
Bioconductor package for
recalibrating quality scores from next-generation sequencing data.
BMC Bioinformatics 13(221).
doi:10.1186/1471-2105-13-221.
Rgraphviz
---------
Changes in version 2.7:
- Fixed include statements in Graphviz code.
rhdf5
-----
Changes in version 2.8.0:
NEW FEATURES
- New function h5version implemented.
- New low level general library functions H5open, H5close,
H5garbage_collect, H5get_libversion, and
H5Dset_extent implemented.
USER VISIBLE CHANGES
- h5createDataset automatically uses chunking and compression.
- Added a warning if chunk size is equal to dimensions for large
compressed datasets.
BUG FIXES
- C-stack overflow when reading large fixed-length strings.
- error in i/o with chunksize or blocksize parameters.
- compiling errors due to missing int return value.
roar
----
Changes in version 0.99.6:
NEW FEATURES
- No new features, just adopted the suggested format for the NEWS file
BUG FIXES
- No changes classified as 'bug fixes'
rols
----
Changes in version 1.5.2:
- pretty printing with strwrap(mtd[...]) in vignette and termMetadata
S3 printing method for
readable output (suggestion from Martin Morgan) [2014-02-18 Tue]
- Using BiocStyle vignette [2014-02-18 Tue]
Changes in version 1.5.1:
- split go terms (PRO:...) instead of ids (PR:...) in vignette
tgnqueryShow chunk <2013-10-19 Sat>
Changes in version 1.5.0:
- new devel for Bioc 2.14
rpx
---
Changes in version 0.99.9:
- In pxref, dealing with cases without any or pending publications
[2014-04-01 Tue]
Changes in version 0.99.8:
- fix leftover issues from renaming package (d.tenenbaum) [2014-03-30
Sun]
Changes in version 0.99.7:
- renamed to rpx due to CRAN name clash [2014-03-28]
Changes in version 0.99.6:
- more typos in vignette [2014-03-12 Wed]
Changes in version 0.99.5:
- Suggestions, biocView and typos reported by Nate Hayden [2014-03-12
Wed]
- added Runit test [2014-03-12 Wed]
- use ae fonts in vignette [2014-03-12 Wed]
Changes in version 0.99.4:
- Update reference in man and vignette [2014-03-11 Tue]
- Typos in vignette [2014-03-11 Tue]
Changes in version 0.99.3:
- reverting pxannounced to empty signature to fix warning [2014-03-05
Wed]
Changes in version 0.99.2:
- replacing download.file by getURL to download annoucement rss over
https <2014-03-05 Wed>
Changes in version 0.99.1:
- fixing pxfiles ending by \r on Windows [2014-03-05 Wed]
Changes in version 0.99.0:
- added a vignette [2014-03-05 Wed]
- handle invalid identifiers [2014-03-05 Wed]
rqubic
------
Changes in version 1.8.1 (2011-08-02):
- Fix errors in documentations
Rsamtools
---------
Changes in version 1.15.0:
NEW FEATURES
- asSam converts BAM files to SAM files
- razip, bgzip re-compress directly from .gz files
- yieldReduce through a BAM or other file, applying a MAP function to
each chunk and reducing the
result to it's final representation
SIGNIFICANT USER-VISIBLE CHANGES
- bgzip default extension changed to '.bgz'
- seqinfo,BamFile-method attempts to return seqnames in 'natural'
order, e.g., chr1, chr2, ...
- yieldSize now works on BAM files queried with ranges. Successive
ranges are input until the total
number of records first equals or exceeds yieldSize..
- scanFa supports DNA, RNA, and AAStringSet return objects
BUG FIXES
- scanFa returns correct sequence at the very end of files
- razip compresses small files
- applyPileups no longer crashes in the absence of an index file
Rsubread
--------
Changes in version 1.14.0:
NEW FEATURES
- featureCounts automatically re-orders paired end reads if they were
sorted by chromosomal
locations in the input. It can also deal with read pairs in which
only one end was included in the
input.
- featureCounts is more robust in processing different variants of
GTF/GFF annotation files.
- Subjunc can detect exon-exon junctions which are located at the
start or end of reads. It can
detect non-canonical junctions ('reportAllJunctions' option) in
addition to canonical junctions,
and it can also be used to detect chimerism in both RNA-seq and
gDNA-seq data.
- Both align (Subread aligner) and subjunc now take gzipped FASTQ
files and outputs BAM files in
their default settings. They accept multiple input files as well.
- Breakpoint locations are reported along with mapping location of
each fusion read in SAM/BAM
files, using tags including CC(chromosome name), CP(mapping
position), CG(CIGAR string) and
CT(strand).
- A full index (no gaps) can be built for a reference genome to
further speed up read mapping.
- qualityScores() and propmapped() functions were rewritten.
- Bug fixes.
rTANDEM
-------
Changes in version 1.3.9:
- Capitalisation aliases added for most functions.
- The rtandem function now has an 'output.path' argument. BUG FIXES
- Changed default parameters to prevent the risk of not generating
output files.
- Fixed a bug with 'rtandem()' where the function would not take a
complex rTTAXO object as
argument.
Changes in version 1.3.8:
BUG FIXES
- Fixed a memory leak associated with PTMTreeSearch.
- Removed an unwanted side-effect from the function GetPeptides().
Changes in version 1.3.7:
NEW FEATURES
- rTANDEM now includes the PTMTreeSearch scoring algorithm.
- New function to set default values for PTMTreeSearch algorithm.
Changes in version 1.3.5:
NEW FEATURES
- New rTResult_s class support saving spectra.
- New function 'ms2.plot' to visualize spectra.
Changes in version 1.3.4:
NEW FEATURES
- rTANDEM now supports TPP's hrk-score function.
BUG FIXES
- Fixed a bug with k-score function.
Changes in version 1.3.3:
NEW FEATURES
- Functions have been implemented to create and manipulate parameter
objects (S3 class rTParam).
Those functions give default values for instrument-specific
parameters for some types of mass
spectrometer as well as default values for general parameters.
Changes in version 1.3.2:
NEW FEATURES
- rTANDEM now supports the k-score function. It can be used by setting
the parameter 'scoring,
algorithm' to "k-score".
RTN
---
Changes in version 1.2.0:
- Introduced variant set enrichment analysis for regulons.
rTRM
----
Changes in version 1.2:
- An arbitrary number of targets can be specified in findTRM(). This
allows to use the same list of
TFs for target and query, in order to identify TRMs using
information from predicted TFBS only.
- BioGRID dataset updated to release 3.2.11 (April 2014)
- getBiogridData() retrieves by default the latest BioGRID release
www.thebiogrid.org)
SANTA
-----
Changes in version 1.3.10 (2014-03-03):
NOTES:
- Fixed minor memory leak in the Knet function.
sapFinder
---------
Changes in version 0.99.4:
BUG FIXES
- *To fix a bug of "index.js" that may cause a confusing CSS layout of
index html page.
Changes in version 0.99.3:
NEW FEATURES
- *Add some BiocViews items to packages. *Reduce the size of testing
data. *Make import and export
much more continent. *To make package consistent with bioconductor
in the coding style. *Use
BiocStyle for vignette.
BUG FIXES
- *To fix a bug of vignette document that may cause the package
checking to crash.
Changes in version 0.99.2:
BUG FIXES
- *Resolve some errors and warnings.
Changes in version 0.99.0:
- *Package released.
SCAN.UPC
--------
Changes in version 2.5.8:
NEW FEATURES
- This package now provides "generic" functions for UPC normalizing
any type of gene-expression
data. These values can be input as vectors or ExpressionSet objects.
This means that data from
Illumina BeadChip microarrays or any other type of microarray can be
UPC normalized with relative
ease. It is also easy through integration with the GEOquery package
to UPC normalize any
preprocessed data set from GEO.
- This package now uses the ComBat function from the sva package to
make it easy to adjust gene
expression data for batch effects. This can be done for any type of
expression data.
- RNA-Sequencing data can now be input as matrix files and/or where a
header is present in the input
data files.
NOTES
- The SCAN_TwoColor and UPC_TwoColor functions have changed. They now
return ExpressionSet objects.
- The SCAN_TwoColor and UPC_TwoColor methods now add an integer suffix
to each probe for which there
is a duplicate name.
- The UPC_RNASeq function now also returns an ExpressionSet object.
- A bug was fixed in which UPC_RNASeq returned NA values if there was
no entry in the annotation
file.
SeqArray
--------
Changes in version 1.3.2:
- update test codes to avoid the conflict
Changes in version 1.3.1:
- update according to the new version of VariantAnnotation
shinyTANDEM
-----------
Changes in version 1.1.4:
BUG FIXES
- Better error handling, error messages and conditions for missing
data.
Changes in version 1.1.3:
BUG FIXES
- Corrected problems arising from incompatibility between data.table
and data.frame subsetting
syntaxes.
Changes in version 1.1.2:
NEW FEATURES
- MS2 spectra can now be visualized.
- The 'Result Statistics' and 'Peptides view' tab are now ready.
BUG FIXES
- Corrected a bug in the selection of proteins by number of peptides.
ShortRead
---------
Changes in version 1.21:
NEW FEATURES
- writeFastq can write (and does so by default) gz-compressed files
SIGNIFICANT USER-VISIBLE CHANGES
- Use BiocParallel rather than srapply, mark srapply as 'Deprecated'
- qa,character-method defaults to type="fastq"
- Input of 'legacy' formats marked as such
- alphabetByCycle supports amino acid string sets
snm
---
Changes in version 1.11:
- Now uses lme4 R (>= 1.0)
- Default nbins=20
- New argument lmer.max.iter allows one to cap the number of lmer
iterations
SomaticSignatures
-----------------
Changes in version 1.0.0:
- First stable release with Bioconductor 2.14 (2014-04)
supraHex
--------
Changes in version 1.1.17:
NEW FEATURES
- Add new functions for advanced heatmap visualisation and tree-based
analysis of sample
relationships
Changes in version 1.1.2:
NEW FEATURES
- Add a new function "sMapOverlay" to overlay additional data to the
trained map
synapter
--------
Changes in version 1.5.7:
- Enable setting number of missed cleavages (closes #53) [2014-03-24
Mon]
Changes in version 1.5.6:
- change the default value of grid.ppm.from to 2 (was 5 before)
[2014-03-05 Wed]
- change the separator in GridDetails' names to ":" (was "." before)
[2014-03-07 Fri]
- test for corresponding Pep3D file (closes #42) [2014-03-19 Wed]
Changes in version 1.5.5:
- fix a bug in the calculation of non unique matches in gridSearch2
(part of searchGrid); results in
a higher number of non unique matches (some of the reported -2 will
now be reported as 2 in the
grid details) [2014-03-05 Wed]
- partial rewrite of gridSearch2 (part of searchGrid) for faster grid
calculation [2014-03-04 Tue]
Changes in version 1.5.4:
- biocViews update
Changes in version 1.5.3:
- modified findMSeEMRTs (part of searchGrid) for faster grid
calculation [2014-02-28 Fri]
- typos in manual [2014-02-25 Tue]
- replace readFasta by Biostrings::readAAStringSet [2014-02-25 Tue]
- replace digest by cleaver::cleave [2014-02-25 Tue]
Changes in version 1.5.1:
- typo in vignette [2014-02-18 Tue]
Changes in version 1.5.0:
- new devel version for Bioc 2.14
TargetSearch
------------
Changes in version 1.20.0:
BUG FIXES
- Write the actual retention index value instead of the work 'RI' in
`ProfileCleanUp`.
TCC
---
Changes in version 1.3.2:
- DESeq2 was implemented in TCC for identifying DEGs.
- EBSeq was removed from TCC.
- arguments of 'WAD' function were changed.
- fixed bug in '.testByDeseq' that missing to treat size factors.
- the strategies for DE analysis of paired two-group dataset were
implemented.
- add the section for describing DE analysis of paired two-group
dataset into vignette.
tigre
-----
Changes in version 1.16.1:
- More informative error messages
TransView
---------
Changes in version 1.7.4:
BUG FIXES
- Removed import error introduced with version 1.7.2
Changes in version 1.7.3:
BUG FIXES
- Minor bug fix
Changes in version 1.7.2:
NEW FEATURES
- annotatePeaks now assigns a gene to the peak center instead of the
peak limits
- annotatePeaks takes the new argument 'reference' to enable
alternative peak to gene body
associations
Changes in version 1.7.1:
BUG FIXES
- Minor correction to avoid warning messages issued after GRanges to
data.frame conversion
unifiedWMWqPCR
--------------
Changes in version 0.9.9:
SIGNIFICANT USER-VISIBLE CHANGES
- First submission of uWMWqPCR to BioConductor.
VariantAnnotation
-----------------
Changes in version 1.10.0:
NEW FEATURES
- add support for ##contig in VCF header
- add 'meta<-', 'info<-', 'geno<-' replacement methods for VCFHeader
- add 'header<-' replacement method for VCF
- add strand to output from locationVariants()
- add support for writeVcf() to process Rle data in geno matrix
- readVcf() now parses 'geno' fields with Number=G as ((#alleles + 1)
* (#alleles + 2)) / 2
- writeVcf() now sorts the VCF when 'index=TRUE'
- add 'fixed<-,VCFHeader,DataFrameList' method
- add convenience functions for reading VCF into VRanges
- add Rplinkseq test script
- add 'isSNV', 'isInsertion', 'isDeletion', 'isIndel', 'isTransition',
'isPrecise', 'isSV' and
'isSubstitution' generics
- add 'isSNV', 'isInsertion', 'isDeletion', 'isIndel' methods for
VRanges and VCF classes
- add match methods between ExpandedVCF and VRanges
- add support for VRanges %in% TabixFile
MODIFICATIONS
- expand,VCF-method ignores 'AD' header of 'AD' geno is NULL
- add support for SIFT.Hsapiens.dbSNP137
- remove locateVariants() dependence on chr7-sub.vcf.gz
- modify expand() to handle 'AD' field where 'Number' is integer
- rename readVRangesFromVCF() to readVcfAsVRanges()
- remove check for circular chromosomes in locateVariants() and
predictCoding() and
refLocsToLocalLocs()
- modify filterVcf() to handle ranges in ScanVcfParam
- pass 'genetic.code' through predictCoding()
- change default to 'row.names=TRUE' for readGT(), readGeno(), and
readInfo()
- fixed() on empty VCF now returns DataFrame with column names and
data types vs an empty DataFrame
- update biocViews
- modify 'show,VCF' to represent empty values in XStringSet with '.'
- replace rtracklayer:::pasteCollapse with unstrsplit()
DEPRECATED and DEFUNCT
- remove defunct dbSNPFilter(), regionfilter() and MatrixToSnpMatrix()
- deprecate defunct readVcfLongForm()
BUG FIXES
- modify expand.geno() to handle case where header and geno don't
match
- modify writeVcf() to write out rownames with ":" character instead
of treating as missing
- fix how sample names were passed from 'ScanVcfParam' to scanVcf()
- fix bug in 'show,VCF' method
- fix bugs in VRanges -> VCF coercion methods
- fix bug in lightweight read* functions that were ignoring samples in
ScanVcfParam
- fix bug in writeVcf() when no 'ALT' is present
VariantFiltering
----------------
Changes in version 0.99:
USER VISIBLE CHANGES
- Submission of the first version to the Bioconductor project (start
date: 26 September, 2013)
VariantTools
------------
Changes in version 1.6.0:
NEW FEATURES
- Add pileupVariants function as an alternative to tallyVariants for
computing nucleotide pileups
using Rsamtools, instead of gmapR. In the future, this should allow
VariantTools to become
independent of gmapR, but the full variant statistics will only be
available via tallyVariants.
USER-VISIBLE CHANGES
- See the NEWS for gmapR to learn about changes to tallyVariants
output.
wateRmelon
----------
1.3.1: thanks to several users for bug reports!
xcms
----
Changes in version 1.39.6:
USER VISIBLE CHANGES
- Massifquant reports the maximum intensity for each isotope trace
(peak). This is useful for
interactive parameter optimization.
BUG FIXES
- Major memory reduction in parallel fillPeaks() thanks to Jan
Stanstrup. Now using an environment
to mirror gvals to each list item in the very large argList.
Changes in version 1.39.4:
BUG FIXES
- Fixed write.cdf(), which had an intensity offset of +1, added a unit
test
Changes in version 1.39.3:
BUG FIXES
- New R-devel check unload better. Lingering ramp code removed, import
from mzR. Cleaned up other
errors in package check.
Changes in version 1.39.1:
BUG FIXES
- Updated doubleMatrix c code to allow for larger profile matrixes
REQUIRED CHANGES
- Moved inst/doc to vignettes
yaqcaffy
--------
Changes in version 1.23.1:
- moved inst/doc to vignettes [2013-10-19 Sat]
Packages removed from the release
=================================
The following packages are no longer in the release:
Agi4x44PreProcess, maDB, pgUtils