| Estimates differential gene expression for short read sequence count using methods appropriate for count data.
Performs digital differential gene expression analysis between groups (eg a treatment and control). Biological replicates provide information about experimental variability required for reliable inference. R package requirements: edgeR limma |
hg clone https://toolshed.g2.bx.psu.edu/repos/fcaramia/edger
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| - Create a digital expression matrix by counting reads in features with htseq-count | 1.0.0 | any | |
| - Estimates differential gene expression for short read sequence count using methods appropriate for count data | 0.0.2 | any | |