Open AccessGeneSeeker: extraction and integration of human disease-related information from web-based genetic databases
Author(s) -
Marc A. van Driel,
Koen Cuelenaere,
Patrick Kemmeren,
J.A.M. Leunissen,
Han G. Brunner,
Gert Vriend
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/gki435
Subject(s) - biology , database , identification (biology) , web server , gene , selection (genetic algorithm) , computational biology , bioinformatics , genetics , computer science , the internet , world wide web , artificial intelligence , botany
The identification of genes underlying human genetic disorders requires the combination of data related to cytogenetic localization, phenotypes and expression patterns, to generate a list of candidate genes. In the field of human genetics, it is normal to perform this combination analysis by hand. We report on GeneSeeker (http://www.cmbi.ru.nl/GeneSeeker/), a web server that gathers and combines data from a series of databases. All database searches are performed via the web interfaces provided with the original databases, guaranteeing that the most recent data are queried, and obviating data warehousing. GeneSeeker makes the same selection of candidate genes as the human geneticists would have performed, and thus reducing the time-consuming process to a few minutes. GeneSeeker is particularly well suited for syndromes in which the disease gene displays altered expression patterns in the affected tissue(s).
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