0
|
1 # sam2counts and DESeq in Galaxy
|
|
2
|
|
3 ## About
|
|
4
|
|
5 This is a Galaxy package that wraps sam2counts and DESeq for RNA-Seq analysis using a transcriptome reference. sam2counts takes SAM files that are created from an alignment to a transcriptome and creates counts of aligned reads for each transcript. DESeq uses the DESeq package from Bioconductor in R and analyzes the count data from sam2counts. DESeq outputs a toptable of transcripts sorted by adjusted p-value and a page of diagnostic plots.
|
|
6
|
|
7 ## Requirements
|
|
8
|
|
9 Python 2.6.5
|
|
10 pysam 0.6 (package for Python)
|
|
11 R 2.15
|
|
12 Bioconductor 2.10 (package for R)
|
|
13 DESeq 1.8.3 (package for R)
|
|
14 aroma.light 1.24.0 (package for R)
|
|
15 lattice 0.20-6 (package for R)
|
|
16
|
|
17 ## Installation
|
|
18
|
|
19 stderr_wrapper.py and sam2counts_galaxy.py must be in the path or they can remain in the tools directory with the xml files. deseq.R must be copied to the "tool-data" directory under the main Galaxy install directory.
|
|
20
|
|
21 ## Use
|
|
22
|
|
23 sam2counts needs a SAM file (produced by aligning to a transcriptome) with header information as the input. The count data produced from this SAM file gets fed into DESeq.
|