Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

Nature Biotechnology

Volumn 33, Issue 8, 2015, Pages 831-838

  Alipanahi, Babak ^a,b   Delong, Andrew ^a   Weirauch, Matthew T ^c,d   Frey, Brendan J ^a,b,c  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c CANADIAN INSTITUTE FOR ADVANCED RESEARCH   (Canada)

^d CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL SYSTEMS; PROTEINS; RNA;

COMPUTATIONAL APPROACH; EVALUATION METRICS; REGULATORY PROCESS; RNA-BINDING PROTEIN; SEQUENCE SPECIFICITY; SPECIFIC SEQUENCES; STAND-ALONE SOFTWARE; STATE-OF-THE-ART METHODS;

NUCLEIC ACIDS;

DNA BINDING PROTEIN; RNA BINDING PROTEIN;

ALTERNATIVE RNA SPLICING; ARTICLE; COMPUTER PROGRAM; DNA SEQUENCE; GENE EXPRESSION; GENETIC VARIABILITY; HUMAN; IMMUNOPRECIPITATION; IN VITRO STUDY; NONHUMAN; POSITION WEIGHT MATRIX; PREDICTION; PRIORITY JOURNAL; PROTEIN RNA BINDING; RNA BINDING; RNA SEQUENCE; BIOLOGY; CHEMISTRY; PROCEDURES; SEQUENCE ANALYSIS;

COMPUTATIONAL BIOLOGY; DNA-BINDING PROTEINS; POSITION-SPECIFIC SCORING MATRICES; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 84938888109     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/nbt.3300     Document Type: Article

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