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

Vieth, Beate; Ziegenhain, Christoph; Parekh, Swati; Enard, Wolfgang und Hellmann, Ines (2017): powsimR: power analysis for bulk and single cell RNA-seq experiments. In: Bioinformatics, Bd. 33, Nr. 21: S. 3486-3488

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

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Biologie > Department Biologie II
• Themengebiete: 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
• ISSN: 1367-4803
• Sprache: Englisch