Entering edit mode
Hi Nico,
I would like to use easyRNAseq to count reads for RNA-seq. The
vignette says that "The ideal
solution is to provide an annotation object that contains no
overlapping features. The disjoin
function from the IRanges package off
ers a way to achieve this." I do not have much experience
with IRanges, etc, and would be grateful for any pointers on how to do
this, since it was not
obvious to me. I would like to not remove the genes that overlap, but
instead remove the regions of
the genes that overlap, leaving any unique regions. And one
additional request--would it be
possible to have easyRNAseq have the option to calculate TPM as well
as RPKM (using the
non-overlapping gene length) ? The reference for TPM is
http://www.ncbi.nlm.nih.gov/pubmed/22872506
TPM/RPKM would be useful for heatmaps and other display purposes.
Thanks,
Vince
library(easyRNASeq)
library(RnaSeqTutorial)
library(BSgenome.Dmelanogaster.UCSC.dm3)
count.table <- easyRNASeq(system.file(
"extdata",
package="RnaSeqTutorial"),
organism="Dmelanogaster",
readLength=36L,
annotationMethod="gff",
annotationFile=system.file(
"extdata",
"annot.gff",
package="RnaSeqTutorial"),
gapped=TRUE,
count="exons",
filenames="gapped.bam")
> 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.Dmelanogaster.UCSC.dm3_1.3.19
[2] RnaSeqTutorial_0.0.11
[3] easyRNASeq_1.4.2
[4] ShortRead_1.16.3
[5] latticeExtra_0.6-24
[6] RColorBrewer_1.0-5
[7] Rsamtools_1.10.2
[8] DESeq_1.10.1
[9] lattice_0.20-13
[10] locfit_1.5-8
[11] BSgenome_1.26.1
[12] GenomicRanges_1.10.5
[13] Biostrings_2.26.2
[14] IRanges_1.16.4
[15] edgeR_3.0.8
[16] limma_3.14.3
[17] biomaRt_2.14.0
[18] Biobase_2.18.0
[19] genomeIntervals_1.14.0
[20] BiocGenerics_0.4.0
[21] intervals_0.13.3
[22] BiocInstaller_1.8.3
loaded via a namespace (and not attached):
[1] annotate_1.36.0 AnnotationDbi_1.20.3 bitops_1.0-5
[4] DBI_0.2-5 genefilter_1.40.0 geneplotter_1.36.0
[7] grid_2.15.2 hwriter_1.3 RCurl_1.95-3
[10] RSQLite_0.11.2 splines_2.15.2 stats4_2.15.2
[13] survival_2.37-2 tools_2.15.2 XML_3.95-0.1
[16] xtable_1.7-0 zlibbioc_1.4.0