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RACE: Remote Analysis Computation for gene Expression data.

Michael Psarros·Steffen Heber·Manuela Sick·Gnanasekaran Thoppae·Keith Harshman·Beate Sick
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Abstract

The Remote Analysis Computation for gene Expression data (RACE) suite is a collection of bioinformatics web tools designed for the analysis of DNA microarray data. RACE performs probe-level data preprocessing, extensive quality checks, data visualization and data normalization for Affymetrix GeneChips. In addition, it offers differential expression analysis on normalized expression levels from any array platform. RACE estimates the false discovery rates of lists of potentially regulated genes and provides a Gene Ontology-term analysis tool for GeneChip data to support the biological interpretation and annotation of results. The analysis is fully automated but can be customized by flexible parameter settings. To offer a convenient starting point for subsequent analyses, and to provide maximum transparency, the R scripts used to generate the results can be downloaded along with the output files. RACE is freely available for use at http://race.unil.ch.

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Computational BiologyComputer GraphicsGene Expression ProfilingInternetOligonucleotide Array Sequence AnalysisQuality ControlSoftwareUser-Computer InterfaceJournal ArticleResearch Support, Non-U.S. Gov't

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Michael Psarros, Steffen Heber, Manuela Sick, Gnanasekaran Thoppae, Keith Harshman, Beate Sick. 2005-07-01. RACE: Remote Analysis Computation for gene Expression data.. https://doi.org/10.1093/nar%2Fgki490

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