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

powsimR: power analysis for bulk and single cell RNA-seq experiments
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DOI:
10.1093/bioinformatics/btx435
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发表时间:
2017-11-01
期刊:
影响因子:
5.8
通讯作者:
Hellmann, Ines
Hellmann, Ines
中科院分区:
生物学3区
文献类型:
--
作者:
Vieth, Beate;Ziegenhain, Christoph;Hellmann, Ines

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功率分析对于优化RNA-seq实验设计以及评估和比较RNA-seq数据中检测差异表达基因的功率至关重要。PowsimR是一种灵活的工具,可以模拟和评估大量特别是单细胞RNA-seq数据的差异表达,使其适合于先验和后验功率分析。补充信息:补充数据可在生物信息学在线获取。
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.