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

Vieth, Beate; Ziegenhain, Christoph; Parekh, Swati; Enard, Wolfgang; Hellmann, Ines · Bioinformatics · 2017

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Abstract

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. The R package and associated tutorial are freely available at https://github.com/bvieth/powsimR. vieth@bio.lmu.de or hellmann@bio.lmu.de. Supplementary data are available at Bioinformatics online.

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