Differential analysis of RNA-seq incorporating quantification uncertainty

Harold Pimentel, Nicolas L. Bray, Suzette Puente, Páll Melsted, Lior Pachter*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

487 Citations (Scopus)

Abstract

We describe sleuth (http://pachterlab.github.io/sleuth), a method for the differential analysis of gene expression data that utilizes bootstrapping in conjunction with response error linear modeling to decouple biological variance from inferential variance. sleuth is implemented in an interactive shiny app that utilizes kallisto quantifications and bootstraps for fast and accurate analysis of data from RNA-seq experiments.

Original languageEnglish
Pages (from-to)687-690
Number of pages4
JournalNature Methods
Volume14
Issue number7
DOIs
Publication statusPublished - 29 Jun 2017

Bibliographical note

Publisher Copyright:
© 2017 Nature America, Inc., part of Springer Nature. All rights reserved.

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