Computational disease gene identification: A concert of methods prioritizes type 2 diabetes and obesity candidate genes

Nucleic Acids Research

Volumn 34, Issue 10, 2006, Pages 3067-3081

  Tiffin, Nicki ^a   Adie, Euan ^b   Turner, Frances ^c   Brunner, Han G ^d   van Driel, Marc A ^e   Oti, Martin ^d   Lopez Bigas, Nuria ^f   Ouzounis, Christos ^g,m   Perez Iratxeta, Carolina ^h   Andrade Navarro, Miguel A ^g,i   Adeyemo, Adebowale ^j,k   Patti, Mary Elizabeth ^l   Semple, Colin A M ^c   Hide, Winston ^a  

^a UNIVERSITY OF THE WESTERN CAPE   (South Africa)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c WESTERN GENERAL HOSPITAL   (United Kingdom)

^d RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^e RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^f UNIVERSITAT POMPEU FABRA   (Spain)

^g EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^h OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

ⁱ UNIVERSITY OF OTTAWA   (Canada)

^j HOWARD UNIVERSITY COLLEGE OF MEDICINE   (United States)

^k UNIVERSITY OF IBADAN   (Nigeria)

^l JOSLIN DIABETES CENTER   (United States)

^m INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; BIOINFORMATICS; COMPUTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; GENE IDENTIFICATION; HUMAN; INFORMATION PROCESSING; INTERNET; LINKAGE ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; PRIORITY JOURNAL; REVIEW; ARTICLE; BIOLOGY; EVALUATION; GENE; GENETIC LINKAGE; GENETIC PREDISPOSITION; GENETICS; METHODOLOGY;

COMPUTATIONAL BIOLOGY; DIABETES MELLITUS, TYPE 2; GENES; GENETIC PREDISPOSITION TO DISEASE; HUMANS; INTERNET; LINKAGE (GENETICS); OBESITY; SOFTWARE;

EID: 33745154860     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkl381     Document Type: Review

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