Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation.

Äijö T, Butty V, Chen Z, Salo V, Tripathi S, Burge CB, Lahesmaa R, Lähdesmäki H (2014) Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation. Bioinformatics 30(12), i113-i120.

Abstract

Gene expression profiling using RNA-seq is a powerful technique for screening RNA species' landscapes and their dynamics in an unbiased way. While several advanced methods exist for differential expression analysis of RNA-seq data, proper tools to anal.yze RNA-seq time-course have not been proposed.

Leibniz-HKI-Autor*innen

Subhash Tripathi

Identifier

doi: 10.1093/bioinformatics/btu274

PMID: 24931974