[BioC] EasyRNASeq - gff file is not recognized
Gabriela [guest]
guest at bioconductor.org
Wed Mar 6 10:57:19 CET 2013
Hello,
I am trying to generate a table of gene counts to use later with Deseq. However, I got an error message that the maize gff file that I am using is wrong. I downloaded this file directly from the plant ensembl website.
I have to mention that I used a .gff file and a .gff3, and with both I have the same issue. Any hint in how to solve my problem.
Many thanks for your help in advance,
Gabriela
-- output of sessionInfo():
> genes_FGS1 <- easyRNASeq(filesDirectory="/projects/EASYRNASeq/",
+ gapped=F,
+ validity.check=TRUE,
+ chr.map=chr.map,
+ organism="custom",
+ annotationMethod="gff",
+ annotationFile="/projects/ZmB73_5b_FGS.gff3",
+ count="genes",
+ filenames=files,
+ summarization="geneModels",
+ outputFormat="RNAseq")
Checking arguments...
Fetching annotations...
Error in .readGffGtf(filename = filename, ignoreWarnings = ignoreWarnings, :
Your file: /projects/ZmB73_5b_FGS.gff3 does not contain a gff header: '##gff-version 3' as first line. Is that really a gff3 file?
>
> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: x86_64-unknown-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] grid parallel stats graphics grDevices utils datasets
[8] methods base
other attached packages:
[1] VennDiagram_1.5.1 easyRNASeq_1.4.2 ShortRead_1.16.1
[4] latticeExtra_0.6-24 RColorBrewer_1.0-5 BSgenome_1.26.1
[7] biomaRt_2.14.0 genomeIntervals_1.14.0 intervals_0.13.3
[10] Rsamtools_1.10.1 Biostrings_2.26.2 GenomicRanges_1.10.4
[13] IRanges_1.16.4 edgeR_3.0.2 limma_3.14.1
[16] pasilla_0.2.13 DESeq_1.10.1 lattice_0.20-10
[19] locfit_1.5-8 DEXSeq_1.2.1 Biobase_2.18.0
[22] BiocGenerics_0.4.0 pasillaBamSubset_0.0.2
loaded via a namespace (and not attached):
[1] annotate_1.34.1 AnnotationDbi_1.18.1 bitops_1.0-4.2
[4] DBI_0.2-5 genefilter_1.38.0 geneplotter_1.34.0
[7] hwriter_1.3 plyr_1.7.1 RCurl_1.91-1
[10] RSQLite_0.11.1 splines_2.15.2 statmod_1.4.15
[13] stats4_2.15.2 stringr_0.6.1 survival_2.36-14
[16] tools_2.15.2 XML_3.9-4 xtable_1.7-0
[19] zlibbioc_1.4.0
--
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