4.7 Article

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

Journal

BIOINFORMATICS
Volume 33, Issue 21, Pages 3486-3488

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btx435

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Funding

  1. Deutsche Forschungsgemeinschaft (DFG) through LMUexcellent
  2. [SFB1243]

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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. Supplementary information: Supplementary data are available at Bioinformatics online.

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