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Journal Articles Bioinformatics Year : 2013

Data-based filtering for replicated high-throughput transcriptome sequencing experiments

Abstract

RNA sequencing is now widely performed to study differential expression among experimental conditions. As tests are performed on a large number of genes, very stringent false discovery rate control is required at the expense of detection power. Ad hoc filtering techniques are regularly used to moderate this correction by removing genes with low signal, with little attention paid to their impact on downstream analyses.

Dates and versions

hal-00927025 , version 1 (10-01-2014)

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Andrea Rau, Mélina Gallopin, Gilles Celeux, Florence Jaffrezic. Data-based filtering for replicated high-throughput transcriptome sequencing experiments. Bioinformatics, 2013, 29 (17), pp.2146-2152. ⟨10.1093/bioinformatics/btt350⟩. ⟨hal-00927025⟩
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