Format

Send to

Choose Destination
Nat Methods. 2017 Jul;14(7):687-690. doi: 10.1038/nmeth.4324. Epub 2017 Jun 5.

Differential analysis of RNA-seq incorporating quantification uncertainty.

Author information

1
Department of Computer Science, University of California, Berkeley, Berkeley, California, USA.
2
Innovative Genomics Institute and Department of Molecular &Cell Biology, University of California, Berkeley, Berkeley, California, USA.
3
Department of Statistics, University of California, Berkeley, Berkeley, California, USA.
4
Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Reykjavík, Iceland.
5
Division of Biology and Biological Engineering, Caltech, Pasadena, California, USA.

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.

PMID:
28581496
DOI:
10.1038/nmeth.4324
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Nature Publishing Group
Loading ...
Support Center