SpringerProtocols: Abstract: Gene Expression Informatics

Gene Expression Informatics

By: Martin Leach²

Abstract

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There are many methodologies for performing gene expression profiling on transcripts, and through their use scientists have been generating vast amounts of experimental data. Turning the raw experimental data into meaningful biological observation requires a number of processing steps; to remove noise, to identify the “true” expression value, normalize the data, compare it to reference data, and to extract patterns, or obtain insight into the underlying biology of the samples being measured. In this chapter we give a brief overview of how the raw data is processed, provide details on several data-mining methods, and discuss the future direction of expression informatics.

Affiliation(s): (2) Bioinformatics, CuraGen Corporation, New Haven, CT

Book Title: Gene Expression Profiling: Methods and Protocols

Series: Methods in Molecular Biology | Volume: 258 | Pub. Date: Feb-24-2004 | Page Range: 153-165 | DOI: 10.1385/1-59259-751-3:153

Subject: Genetics/Genomics

Key Words: Bioinformatics - clustering - data analysis - databases - gene-expression - microarrays - software

References

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