Analysis of cell-based RNAi screens
By Michael Boutros, Lígia P. Brás, Wolfgang Huber. Genome Biology, 2006
326 citations recorded by the source corpus.
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). The method is useful for the analysis and documentation of individual RNAi screens. Moreover, it is a prerequisite for the integration of multiple experiments.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/823a299aaa240625760a3d0b88214383446eacbb
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In Molecular Biology
- Anne E Carpenter
- David M. Sabatini
- Thouis Raymond Jones
- Robert A Lindquist
- Polina Golland
- In Han Kang
- Wolfgang Huber
- Ewan Birney
Citations in the corpus
- CellProfiler Analyst: data exploration and analysis software for complex image-based screens (2008, methodology): “, for normalizing screen data [9,10]) to the system.”
- Mapping Identifiers for the Integration of Genomic Datasets with the R/Bioconductor package biomaRt (2009, methodology): “We have been using it in many of our data analysis project”