Journal
NATURE METHODS
Volume 14, Issue 7, Pages 687-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/nmeth.4324
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Funding
- NIH [R01 DK094699, R01 HG006129]
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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.
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