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The first problem I have was with ideoTrack. I am using
genome<-'danRer7' and when I perform:
> genome<-"danRer7"
> myGene<-getGenes(cuff_data,'cdk6')
> myChr<-unique(features(myGene)$seqnames)
> ideoTrack <- IdeogramTrack(genome = genome, chromosome = myChr)
I receive the following error message:
Error in normArgTrack(track, trackids) : Unknown track: cytoBandIdeo
I don't know how to get around this. I have tried to use chr1 for
chromosome and get same error. I have tried to use older versions of
the genome as well (i.e. 'danRer6', 'danRer5', etc. and receive the
same error). I have tried to use 'Zv9" and I get the error that it is
not a valid UCSC genome. I can use the human genome 'hg19' and for
some reason I don't understand it actually will pull up the zebrafish
'Zv9' location, but this causes problems downstream with the biomaRt
commands.
Secondly, I am having problems with the biomaRt command. When I enter
the command:
>biomTrack<-BiomartGeneRegionTrack(genome=genome,chromosome=as.charact
er(myChr),start=myStart,end=myEnd,name="ENSEMBL",showId=T)
I receive the following error:
Error in .genome2Dataset(genome) :
Unable to automatically determine Biomart data set for UCSC genome
'danRer7'
The danRer7 is, but it will not automatically fetch the Biomart data
set. I have also tried using earlier versions of the zebrafish genome
(i.e. danRer6, danRer5, etc.) but I get the same error. Again, I have
tried using other names for the genome that may work for the biomaRt,
such as 'Zv9' and 'Danio rerio genes (Zv9)', but then it tells me that
it is not a valid UCSC genome. Can you help me with this?
Any and all help would be very much appreciated. Thanks so much
-- output of sessionInfo():
R version 2.15.2 (2012-10-26)
Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] grid stats graphics grDevices utils datasets
methods base
other attached packages:
[1] cummeRbund_2.0.0 Gviz_1.2.1 rtracklayer_1.18.2
GenomicRanges_1.10.6 IRanges_1.16.4 fastcluster_1.1.7
[7] reshape2_1.2.2 ggplot2_0.9.3 RSQLite_0.11.2
DBI_0.2-5 BiocGenerics_0.4.0
loaded via a namespace (and not attached):
[1] AnnotationDbi_1.20.3 Biobase_2.18.0 biomaRt_2.14.0
Biostrings_2.26.2 biovizBase_1.6.2
[6] bitops_1.0-4.2 BSgenome_1.26.1 cluster_1.14.3
colorspace_1.2-0 dichromat_1.2-4
[11] digest_0.6.0 GenomicFeatures_1.10.1 gtable_0.1.2
Hmisc_3.10-1 labeling_0.1
[16] lattice_0.20-13 MASS_7.3-23 munsell_0.4
parallel_2.15.2 plyr_1.8
[21] proto_0.3-10 RColorBrewer_1.0-5 RCurl_1.95-3
Rsamtools_1.10.2 scales_0.2.3
[26] stats4_2.15.2 stringr_0.6.2 tools_2.15.2
XML_3.95-0.1 zlibbioc_1.4.0
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