web cellHTS2: A web-application for the analysis of high-throughput screening data

Background: The analysis of high-throughput screening data sets is an expanding field in bioinformatics. Highthroughput screens by RNAi generate large primary data sets which need to be analyzed and annotated to identify relevant phenotypic hits. Large-scale RNAi screens are frequently used to identify novel factors that influence a broad range of cellular processes, including signaling pathway activity, cell proliferation, and host cell infection. Here, we present a web-based application utility for the end-to-end analysis of large cell-based screening experiments by cellHTS2. Results: The software guides the user through the configuration steps that are required for the analysis of single or multi-channel experiments. The web-application provides options for various standardization and normalization methods, annotation of data sets and a comprehensive HTML report of the screening data analysis, including a ranked hit list. Sessions can be saved and restored for later re-analysis. Th...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Oliver Pelz, Moritz Gilsdorf, Michael Boutros
• Keywords: Analysis, BMCBI 2010, Data Sets, Screening Data