RACE: Remote Analysis Computation for gene Expression data.

Details

Ressource 1Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_16958AE0783D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
RACE: Remote Analysis Computation for gene Expression data.
Journal
Nucleic acids research
Author(s)
Psarros M., Heber S., Sick M., Thoppae G., Harshman K., Sick B.
ISSN
1362-4962
ISSN-L
0305-1048
Publication state
Published
Issued date
01/07/2005
Peer-reviewed
Oui
Volume
33
Number
Web Server issue
Pages
W638-43
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
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.
Keywords
Computational Biology, Computer Graphics, Gene Expression Profiling/methods, Gene Expression Profiling/standards, Internet, Oligonucleotide Array Sequence Analysis/methods, Oligonucleotide Array Sequence Analysis/standards, Quality Control, Software, User-Computer Interface
Pubmed
Web of science
Open Access
Yes
Create date
24/01/2008 15:33
Last modification date
09/08/2024 14:53
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