Syndrome to gene (S2G): In-silico identification of candidate genes for human diseases

Human Mutation

Volumn 31, Issue 3, 2010, Pages 229-236

  Gefen, Avitan ^a   Cohen, Raphael ^a   Birk, Ohad S ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Bioinformatics; Candidate gene prediction; Data integration; Mendelian disease; OMIM

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER MODEL; COMPUTER PROGRAM; DATA BASE; GENE IDENTIFICATION; GENE LOCUS; GENETIC DISORDER; GENOMICS; HUMAN; INFORMATION; PHENOTYPE; PRIORITY JOURNAL; SEARCH ENGINE; SYNDROME TO GENE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENETIC DISEASES, INBORN; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MODELS, STATISTICAL; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SOFTWARE; SYNDROME;

EID: 77149132430     PISSN: 10597794     EISSN: 10981004     Source Type: Journal    
DOI: 10.1002/humu.21171     Document Type: Article

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