Cuffdiff2 with JS option
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Cuffdiff2 with JS option (USER MANUAL UNDER DEVELOPMENT)
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Cuffdiff2 performs differential transcript abundance analysis for two or more RNA-Seq samples. However, Cuffdiff2 by default refrains from performing significance tests (Jensen-Shannon) when one of the conditions involved has fewer than three replicates for computing differential splicing, CDS switching, and promoter switching analyses. The "Cuffdiff2 with JS option" specifically addresses this by providing option to specify the number of replicates that will allow Cuffdiff2 to compute the JS tests for these analyses.
Quick Start
- To use Cuffdiff2 with JS option,
- import your BAM files and your GTF file
Resources:http://cufflinks.cbcb.umd.edu/, http://cufflinks.cbcb.umd.edu/tutorial.html and http://cufflinks.cbcb.umd.edu/howitworks.html#hdif
Test Data
Input File(s)
Use the following files from the directory above as test input:
hy5_rep1.bam
hy5_rep2.bam
merged_with_ref_ids.gtf
WT_rep1.bam
WT_rep2.bam
Parameters Used in App
When the app is run in the Discovery Environment, use the following parameters with the above input file(s) to get the output provided in the next section below.
- Default parameters only, and WT vs hy5 sample names
Output File(s)
Expect a series of files describing the expression for genes and transcripts as output in a cuffdiff_out directory and a series of sorted files of significantly features that have significantly different expression in the sorted_data directory.