Hi, Yan
The  htseq_bams_to_count_matrix tool in the test toolshed might be worth a
try - it creates tabular count matrices from any number of individual
sample bam/sam files (it is NOT read group aware!). Each row contains the
count for that contig for each sample. It uses HTSeq code and you supply
your favourite gene model as a GTF file for defining the regions to count
and how to amalgamate - eg count reads overlapping exons and sum those into
total counts for each gene. Please give it a try. Install from the admin
interface and let me know how you get on. There's a companion tool
differential_count_models
 also in the test toolshed that includes edgeR, DESeq2 and VOOM from
Bioconductor - it runs 1 or 2 way GLMs using the count matrices generated
by the htseq tool - be warned that it takes a long time to install
everything so be patient and allow 20 minutes or so for the installation to
finish because it compiles and installs R 3.0.1 and Bioconductor packages.

Suggestions for improvement or bug reports always welcomed. Good luck.


On Thu, Aug 22, 2013 at 3:35 PM, Yan He <yanh...@hotmail.com> wrote:

> Hi Jen and other galaxy-users,****
>
> ** **
>
> I am analyzing our RNA-seq data. First, I mapped the RNA-seq data to the
> reference genome. I am wondering if there is a tool that could count the
> number of reads that mapped to each gene. That’s important information for
> my subsequent analysis. Any reply is highly appreciated! Thanks,****
>
> ** **
>
> Yan****
>
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