Oxford University Press (OUP), Bioinformatics, 6(27), p. 879-880
DOI: 10.1093/bioinformatics/btr028
Full text: Download
Motivation: High-throughput screens (HTS) by RNAi or small molecules are among the most promising tools in functional genomics. They enable researchers to observe detailed reactions to experimental perturbations on a genome-wide scale. While there is a core set of computational approaches used in many publications to analyze these data, a specialized software combining them and making them easily accessible has so far been missing. Results: Here we describe HTSanalyzeR , an integrated analysis pipeline for HTS data that contains over-representation analysis, gene set enrichment analysis, comparative gene set analysis and rich sub-network identification. HTSanalyzeR directly builds on commonly used pre-processing packages for HTS data and presents its statistical results as HTML pages and network plots.