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Last seen 10.3 years ago
Dear all,
I am currently trying to use easyRNASeq in order to create a DGElist
object for edgeR. However, when I run the function on my samples (as
shown below), I encounter an error message AFTER counting:
Preparing output
Calculating library sizes from column totals.
Normalizing counts
Error in .local(obj, ...) :
You need to estimate the common dispersion before using this
function.
Here's my call the easyRNASeq function:
dgeList <- easyRNASeq(organism="Hsapiens",
annotationMethod="biomaRt",
gapped=TRUE,
count="exons",
filesDirectory = "/media/sf_Storage1/RNAseq",
pattern="*_mapping\\.bam$",
recursive=T,
normalize=TRUE,
outputFormat="edgeR",
conditions=conditions
)
I am following the provided online manual which does not mention any
dispersion estimation. Does anyone have an idea how to fix this?
Best regards,
Ren??
-- output of sessionInfo():
Output:
...
Processing G_349_mapping.bam
Updating the read length information.
The alignments are gapped.
Minimum length of 1 bp.
Maximum length of 101 bp.
Preparing output
Calculating library sizes from column totals.
Normalizing counts
Error in .local(obj, ...) :
You need to estimate the common dispersion before using this
function.
In addition: There were 33 warnings (use warnings() to see them)
> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=C LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats graphics grDevices utils datasets
methods
[8] base
other attached packages:
[1] BSgenome.Hsapiens.UCSC.hg19_1.3.19 easyRNASeq_1.4.2
[3] ShortRead_1.16.1 latticeExtra_0.6-24
[5] RColorBrewer_1.0-5 Rsamtools_1.10.1
[7] DESeq_1.10.1 lattice_0.20-10
[9] locfit_1.5-8 BSgenome_1.26.1
[11] GenomicRanges_1.10.3 Biostrings_2.26.2
[13] IRanges_1.16.3 edgeR_3.0.2
[15] limma_3.14.1 biomaRt_2.14.0
[17] Biobase_2.18.0 genomeIntervals_1.14.0
[19] BiocGenerics_0.4.0 intervals_0.13.3
loaded via a namespace (and not attached):
[1] annotate_1.36.0 AnnotationDbi_1.20.2 bitops_1.0-4.1
[4] DBI_0.2-5 genefilter_1.40.0 geneplotter_1.36.0
[7] grid_2.15.2 hwriter_1.3 RCurl_1.95-1.1
[10] RSQLite_0.11.2 splines_2.15.2 stats4_2.15.2
[13] survival_2.36-14 tools_2.15.2 XML_3.95-0.1
[16] xtable_1.7-0 zlibbioc_1.4.0
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