| Literature DB >> 28581496 |
Harold Pimentel1, Nicolas L Bray2, Suzette Puente3, Páll Melsted4, Lior Pachter5.
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.Mesh:
Substances:
Year: 2017 PMID: 28581496 DOI: 10.1038/nmeth.4324
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547