Analysis of cell-based RNAi screens

doi:10.1186/gb-2006-7-7-r66

Genome Biology
Volume 7
Issue 7

Viewing options:

Abstract
Full text
PDF (655KB)
Additional files

Associated material:

PubMed record

Related literature:

Articles citing this article
on BioMed Central
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Boutros M
Brás LP
Huber W

on PubMed

Boutros M
Brás LP
Huber W
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Software

Analysis of cell-based RNAi screens

Michael Boutros¹ , Lígia P Brás²^,3 and Wolfgang Huber²

¹Signaling and Functional Genomics, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany

²EMBL - European Bioinformatics Institute, Cambridge CB10 1SD, UK

³Centre for Chemical and Biological Engineering, IST, Technical University of Lisbon, Av. Rovisco Pais, P-1049-001 Lisbon, Portugal

author email corresponding author email

Genome Biology 2006, 7:R66doi:10.1186/gb-2006-7-7-r66


Published:	25 July 2006

Subject areas: Bioinformatics, Genome studies

Abstract

RNA interference (RNAi) screening is a powerful technology for functional characterization of 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. It is implemented in an open-source Bioconductor/R package, cellHTS (http://www.dkfz.de/signaling/cellHTS webcite). The method is useful for the analysis and documentation of individual RNAi screens. Moreover, it is a prerequisite for the integration of multiple experiments.