GBA server: EST-based digital gene expression profiling | Zendy

XiaoLei Wu | Zendy; Michael G. Walker | Zendy; Juan Luo | Zendy; Wei Li | Zendy

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GBA server: EST-based digital gene expression profiling

Author(s) -

XiaoLei Wu,

Michael G. Walker,

Juan Luo,

Wei Li

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/gki480

Subject(s) - unigene , biology , gene , gene expression profiling , web server , kegg , computational biology , gene expression , genetics , expressed sequence tag , gene ontology , world wide web , the internet , computer science

Expressed Sequence Tag-based gene expression profiling can be used to discover functionally associated genes on a large scale. Currently available web servers and tools focus on finding differentially expressed genes in different samples or tissues rather than finding co-expressed genes. To fill this gap, we have developed a web server that implements the GBA (Guilt-by-Association) co-expression algorithm, which has been successfully used in finding disease-related genes. We have also annotated UniGene clusters with links to several important databases such as GO, KEGG, OMIM, Gene, IPI and HomoloGene. The GBA server can be accessed and downloaded at http://gba.cbi.pku.edu.cn.

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