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HTSanalyzeR: an R/Bioconductor package for integrated network analysis of high-throughput screens.
Wang, Xin; Terfve, Camille; Rose, John C; Markowetz, Florian.
Affiliation
  • Wang X; Cancer Research UK Cambridge Research Institute, Cambridge CB2 0RE, UK.
Bioinformatics ; 27(6): 879-80, 2011 Mar 15.
Article in En | MEDLINE | ID: mdl-21258062
ABSTRACT
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, a flexible software to build integrated analysis pipelines for HTS data that contains over-representation analysis, gene set enrichment analysis, comparative gene set analysis and rich sub-network identification. HTSanalyzeR interfaces with commonly used pre-processing packages for HTS data and presents its results as HTML pages and network plots.

AVAILABILITY:

Our software is written in the R language and freely available via the Bioconductor project at http//www.bioconductor.org.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Computational Biology / Genomics / High-Throughput Nucleotide Sequencing Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2011 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Computational Biology / Genomics / High-Throughput Nucleotide Sequencing Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2011 Type: Article Affiliation country: United kingdom