Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts
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* Corresponding author: Florian Hahne f.hahne@dkfz.de
1 Division of Molecular Genome Analysis, German Cancer Research Center, INF 580, 69120 Heidelberg, Germany
2 EMBL - European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
Genome Biology 2006, 7:R77 doi:10.1186/gb-2006-7-8-r77
Published: 17 August 2006Additional files
Additional data file 1:
The vignette of the accompanying R data package containing code samples and a more detailed description of the individual computational analysis steps, as well as tables of the candidates from our dataset identified in the three assays.
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