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Bioinformatics. 2017 Nov 1;33(21):3486-3488. doi: 10.1093/bioinformatics/btx435.

powsimR: power analysis for bulk and single cell RNA-seq experiments.

Author information

1
Anthropology & Human Genomics, Department of Biology II, Ludwig-Maximilians University, 82152 Munich, Germany.

Abstract

Summary:

Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes in RNA-seq data. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.

Availability and implementation:

The R package and associated tutorial are freely available at https://github.com/bvieth/powsimR.

Contact:

vieth@bio.lmu.de or hellmann@bio.lmu.de.

Supplementary information:

Supplementary data are available at Bioinformatics online.

PMID:
29036287
DOI:
10.1093/bioinformatics/btx435
[Indexed for MEDLINE]

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