Differential analysis of RNA-Seq incorporating quantification uncertainty

Harold Pimentel(University of California, Berkeley), Bray Nicolas L.(Innovative Genomics Institute), Suzette Puente(University of California, Berkeley), Páll Melsted(University of Iceland), Lior Pachter(University of California, Berkeley)
bioRxiv (Cold Spring Harbor Laboratory)
June 10, 2016
Cited by 77Open Access
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Abstract

We describe a novel method for the differential analysis of RNA-Seq data that utilizes bootstrapping in conjunction with response error linear modeling to decouple biological variance from inferential variance. The method is implemented in an interactive shiny app called sleuth that utilizes kallisto quantifications and bootstraps for fast and accurate analysis of RNA-Seq experiments.


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