Bioinformatics Training and Education Program

Using rMATS for differential alternative splicing detection

Coding Club Seminar Series

Using rMATS for differential alternative splicing detection

 When: Sep. 20th, 2023 11:00 am - 12:00 pm

Seminar Series Details:

Presented By:
Alexei Lobanov (CCBR)
Online Webinar
Organized By:

About this Class

This session of the BTEP Coding Club will focus on the tool rMATS for differential alternative splicing event detection from RNA-Seq data. This 1-hour demo will provide a detailed overview of rMATS including why you may want to use it, how to use it, and how to interpret and further use resulting outputs.

Multivariate Analysis of Transcript Splicing (MATS)

MATS 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.