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

Bioinformatics

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

Published: November 2017

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.

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http://dx.doi.org/10.1093/bioinformatics/btx435DOI Listing

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