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

Author:
Vieth, Beate, Ziegenhain, Christoph, Parekh, Swati, Enard, Wolfgang, Hellmann, Ines
Source:
Bioinformatics 2017 v.33 no.21 pp. 3486-3488
ISSN:
1460-2059
Subject:
bioinformatics, computer software, gene expression regulation, genes, sequence analysis
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.
Agid:
6248966