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Abstract

This chapter describes methods and tools for processing and visualizing data from high-throughput cell-based assays. Such assays are used to examine the contribution of genes to a biological process or phenotype (Carpenter and Sabatini, 2004). In principle, this can be done for any gene or combination of genes and for any biological process of interest. There is a variety of technologies, but all of them rely on the availability of genomic resources such as whole genome sequences, full-length cDNA libraries, siRNA collections; or on libraries of protein-specific ligands (compounds). Typically, all or at least large parts of the experimental procedures and data collection are automated. Cell-based assays offer the potential for clustering of genes based on their functional profiles (Piano et al., 2002) and epistatic analyses to elucidate complex genetic networks (Tong et al., 2004).

Keywords

Bivariate Normal Distribution Epistatic Analysis Rectangular Table Complex Genetic Network General Purpose Tool 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • W. Huber
  • F. Hahne

There are no affiliations available

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