rMATS 4.0.2-foss-2019a-Python-2.7.15MATS is a computational tool to detect differential alternative splicing events from RNA-Seq data. The statistical model of MATS calculates the P-value and false discovery rate that the difference in the isoform ratio of a gene between two conditions exceeds a given user-defined threshold. From the RNA-Seq data, MATS can automatically detect and analyze alternative splicing events corresponding to all major types of alternative splicing patterns. MATS handles replicate RNA-Seq data from both paired and unpaired study design.
Accessing rMATS 4.0.2-foss-2019a-Python-2.7.15
To load the module for rMATS 4.0.2-foss-2019a-Python-2.7.15 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load rMATS/4.0.2-foss-2019a-Python-2.7.15
BEAR Apps Version
For more information visit the rMATS website.
This version of rMATS has a direct dependency on: foss/2019a GSL/2.5-GCC-8.2.0-2.31.1 Pysam/0.15.2-foss-2019a Python/2.7.15-GCCcore-8.2.0 SAMtools/1.9-GCC-8.2.0-2.31.1 SciPy-bundle/2019.03-foss-2019a STAR/2.7.1a-GCC-8.2.0-2.31.1
Last modified on 27th November 2019