RACE: Remote Analysis Computation for gene Expression data | Zendy

M. Psarros | Zendy; Steffen Heber | Zendy; Mirjam Sick | Zendy; G. Thoppae | Zendy; Keith Harshman | Zendy; Beate Sick | Zendy

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RACE: Remote Analysis Computation for gene Expression data

Author(s) -

M. Psarros,

Steffen Heber,

Mirjam Sick,

G. Thoppae,

Keith Harshman,

Beate Sick

Publication year - 2005

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gki490

Subject(s) - normalization (sociology) , preprocessor , biology , scripting language , dna microarray , computer science , visualization , microarray analysis techniques , gene expression profiling , database normalization , gene chip analysis , computational biology , annotation , data mining , bioinformatics , gene , gene expression , genetics , artificial intelligence , pattern recognition (psychology) , programming language , sociology , anthropology

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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