Paper Info
Title
HCS-Analyzer: open source software for high-content screening data correction and analysis.
Abstract
High-throughput screening is a powerful technology principally used by pharmaceutical industries allowing the identification of molecules of interest within large libraries. Originally target based, cellular assays provide a way to test compounds (or other biological material such as small interfering RNA) in a more physiologically realistic in vitro environment. High-content screening (HCS) platforms are now available at lower cost, giving the opportunity for universities or research institutes to access those technologies for research purposes. However, the amount of information extracted from each experiment is multiplexed and hence difficult to handle. In such context, there is an important need for an easy-to-use, but still powerful software able to manage multidimensional screening data by performing adapted quality control and classification. HCS-analyzer includes: a user-friendly interface specifically dedicated to HCS readouts, an automated approach to identify systematic errors potentially occurring during screening and a set of tools to classify, cluster and identify phenotypes of interest among large and multivariate data.
Year
DOI
Venue
2012
10.1093/bioinformatics/bts288
BIOINFORMATICS
Field
DocType
Volume
Data mining,Systematic error,Source code,Biological materials,Computer science,Software,Bioinformatics,Documentation,Spectrum analyzer
Journal
28
Issue
ISSN
Citations 
14
1367-4803
6
PageRank 
References 
Authors
0.49
5
2
Name
Order
Citations
PageRank
Arnaud Ogier1204.09
Thierry Dorval2223.23