View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Springer - Publisher Connector Open Access Software2006BoutrosetVolume al. 7, Issue 7, Article R66 Analysis of cell-based RNAi screens comment Michael Boutros*, Lígia P Brás†‡ and Wolfgang Huber† Addresses: *Signaling and Functional Genomics, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany. †EMBL - European Bioinformatics Institute, Cambridge CB10 1SD, UK. ‡Centre for Chemical and Biological Engineering, IST, Technical University of Lisbon, Av. Rovisco Pais, P-1049-001 Lisbon, Portugal. Correspondence: Michael Boutros. Email:
[email protected]. Wolfgang Huber. Email:
[email protected] reviews Published: 25 July 2006 Received: 27 March 2006 Revised: 7 June 2006 Genome Biology 2006, 7:R66 (doi:10.1186/gb-2006-7-7-r66) Accepted: 25 July 2006 The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2006/7/7/R66 © 2006 Boutros et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. reports Analysis<p>cellHTS of cell-based is a new method RNAi screens for the analysis and documentation of RNAi screens.</p> Abstract RNA interference (RNAi) screening is a powerful technology for functional characterization of deposited research biological pathways. Interpretation of RNAi screens requires computational and statistical analysis techniques. We describe a method that integrates all steps to generate a scored phenotype list from raw data.