WEBSAGE: a web tool for visual analysis of differentially expressed human SAGE tags
Author(s) -
Jean Pylouster,
Catherine SenamaudBeaufort,
Tula SaisonBehmoaras
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/gki444
Subject(s) - sage , serial analysis of gene expression , biology , visualization , plot (graphics) , computational biology , genome , bioinformatics , genetics , gene , gene expression , gene expression profiling , data mining , computer science , statistics , physics , mathematics , nuclear physics
The serial analysis of gene expression (SAGE) is a powerful method to compare gene expression of mRNA populations. To provide quantitative expression levels on a genome-wide scale, the Cancer Genome Anatomy Project (CGAP) uses SAGE. Over 7 million SAGE tags, from 171 human cell types have been assembled. The growing number of laboratories involved in SAGE research necessitates the use of software that provides statistical analysis of raw data, allowing the rapid visualization and interpretation of results. We have created the first simple tool that performs statistical analysis on SAGE data, identifies the tags differentially expressed and shows the results in a scatter plot. It is freely available and accessible at http://bioserv.rpbs.jussieu.fr/websage/index.php.
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