A motif-independent metric for DNA sequence specificity

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Pinello, Luca ^a,b   Lo Bosco, Giosuè ^c   Hanlon, Bret ^d   Yuan, Guo Cheng ^a,b  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

^c UNIVERSITY OF PALERMO   (Italy)

^d University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL FUNCTIONS; EMBRYONIC STEM CELLS; PREDICTION ACCURACY; PREDICTION MODEL; PROTEIN-DNA INTERACTIONS; QUANTITATIVE MEASURES; SEQUENCE SPECIFICITY; UNIFIED FRAMEWORK;

GENES; STEM CELLS;

DNA SEQUENCES;

DNA; DNA BINDING PROTEIN; TRANSCRIPTION FACTOR;

ALGORITHM; ARTICLE; CELL LINE; CHEMISTRY; COMPUTER PROGRAM; GENETIC ASSOCIATION; HUMAN; HUMAN GENOME; METABOLISM; NUCLEOTIDE SEQUENCE; PROTEIN BINDING;

ALGORITHMS; BASE SEQUENCE; CELL LINE; DNA; DNA-BINDING PROTEINS; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; HUMANS; PROTEIN BINDING; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 80054728494     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-408     Document Type: Article

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