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bioRxiv · 10.1101/2020.10.26.355941

Comprehensive and scalable quantification of splicing differences with MntJULiP

Yang, G.·Sabunciyan, S.·Florea, L. D.
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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.

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Yang, G., Sabunciyan, S., Florea, L. D.. 2020-10-27. Comprehensive and scalable quantification of splicing differences with MntJULiP. https://doi.org/10.1101/2020.10.26.355941

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