Artigo Acesso aberto

ALFRED: A WEB-ACCESSIBLE ALLELE FREQUENCY DATABASE

1999; Springer Nature; Linguagem: Inglês

10.1142/9789814447331_0062

ISSN

1571-4861

Autores

Kei‐Hoi Cheung, Perry L. Miller, Judith R. Kidd, Kenneth K. Kídd, Michael V. Osier, A.J. Pakstis,

Tópico(s)

Biomedical Text Mining and Ontologies

Resumo

Biocomputing 2000, pp. 639-650 (1999) No AccessALFRED: A WEB-ACCESSIBLE ALLELE FREQUENCY DATABASEKEI-HOI CHEUNG, PERRY L. MILLER, JUDITH R. KIDD, KENNETH K. KIDD, MICHAEL V. OSIER and ANDREW J. PAKSTISKEI-HOI CHEUNGCenter for Medical Informatics, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208009 New Haven, CT 06520-8009, USA, PERRY L. MILLERCenter for Medical Informatics, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208009 New Haven, CT 06520-8009, USA, JUDITH R. KIDDDepartment of Genetics, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208005 New Haven, CT 06520-8005, USA, KENNETH K. KIDDDepartment of Genetics, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208005 New Haven, CT 06520-8005, USA, MICHAEL V. OSIERDepartment of Genetics, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208005 New Haven, CT 06520-8005, USA and ANDREW J. PAKSTISDepartment of Genetics, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208005 New Haven, CT 06520-8005, USAhttps://doi.org/10.1142/9789814447331_0062Cited by:0 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: We present a Web-accessible database (ALFRED) that allows public access to gene frequency data for a diverse set of population samples and genetic systems. The data in ALFRED are modeled based on the experience and needs of a single laboratory, but with the expectation that the database will meet the needs of a much broader scientific community that needs population-specific gene frequency estimates. Our database currently contains data on more than 40 populations representing most major regions of the world and data on more than 150 genetic systems including SNPs, STRPs, and insertion-deletion polymorphisms. While data are not available for all population-genetic system combinations, over 2000 allele frequency tables already exist. In this paper, we enumerate the broad needs in the scientific domain, describe their significance, and describe how we have designed the database to meet those needs. We compare our database with dbSNP, the NCBI database that has a broader but overlapping purpose. FiguresReferencesRelatedDetails Biocomputing 2000Metrics History PDF download

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