GeneSeeker: extraction and integration of human disease-related information from web-based genetic databases

Autor: M.A. van Driel, Gert Vriend, Jack A. M. Leunissen, Patrick Kemmeren, Koen Cuelenaere, Han G. Brunner
Rok vydání: 2005
Předmět:
expression database
Chemical and physical biology [NCMLS 7]
Web server
Candidate gene
Genetics and epigenetic pathways of disease [NCMLS 6]
Bioinformatics
genome database
Gene Expression
Computational biology
Biology
computer.software_genre
Field (computer science)
Article
Genomic disorders and inherited multi-system disorders [IGMD 3]
User-Computer Interface
map
Bioinformatica
Databases
Genetic
Genetics
Web application
Humans
Genetic Predisposition to Disease
disorders
GeneralLiterature_REFERENCE(e.g.
dictionaries
encyclopedias
glossaries)
Selection (genetic algorithm)
Internet
business.industry
Genetic Diseases
Inborn
Chromosome Mapping
Syndrome
Human genetics
Data warehouse
knowledgebase
Systems Integration
Identification (information)
Phenotype
Genetic defects of metabolism [UMCN 5.1]
identification
malformations
EPS
business
candidate genes
Cellular energy metabolism [UMCN 5.3]
computer
Software
Zdroj: Nucleic Acids Research
Nucleic Acids Research, 33, 2, pp. W758-61
Nucleic acids research, 33(SUPP/2), w758-w761
Europe PubMed Central
Nucleic acids research 33 (2005) SUPP/2
Nucleic Acids Research, 33, W758-61
ISSN: 1362-4962
0305-1048
Popis: 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).
Databáze: OpenAIRE
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