HTSanalyzeR: an R/Bioconductor package for integrated network analysis of high-throughput screens.
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.
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