Comprehensive and scalable quantification of splicing differences with MntJULiP

Published: Oct. 27, 2020, 7:03 p.m.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.26.355941v1?rss=1 Authors: Yang, G., Sabunciyan, S., Florea, L. D. Abstract: Alternative splicing of mRNA is an essential gene regulatory mechanism with important roles in development and disease. We present MntJULiP, a method for comprehensive and accurate quantification of splicing differences between two or more conditions. MntJULiP implements novel Dirichlet-multinomial and zero-inflated negative binomial models within a Bayesian framework to detect both changes in splicing ratios and in absolute splicing levels of introns with high accuracy, and can find classes of variation overlooked by reference tools. Additionally, a mixture model allows multiple conditions to be compared simultaneously. Highly scalable, it processed hundreds of GTEx samples in <1 hour to reveal splicing constituents of tissue differentiation. Copy rights belong to original authors. Visit the link for more info