SCOPUS 정보 검색 플랫폼

Pacific Symposium on Biocomputing

Volumn , Issue , 2013, Pages 80-91

Using dnase digestion data to accurately identify transcription factor binding sites

(2) Luo, Kaixuan a Hartemink, Alexander J a,b

a DUKE UNIVERSITY (United States)

b Duke University (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SURVEYS; TRANSCRIPTION; TRANSCRIPTION FACTORS;

BINDING SPECIFICITIES; CHIP-BASED METHOD; GENOMIC LOCATIONS; LOGISTIC REGRESSIONS; SENSITIVITY AND SPECIFICITY; TRANSCRIPTION FACTOR BINDING SITES; TRANSCRIPTIONAL REGULATION;

BINDING SITES;

DEOXYRIBONUCLEASE; SACCHAROMYCES CEREVISIAE PROTEIN; TRANSCRIPTION FACTOR;

ALGORITHM; BINDING SITE; BIOLOGICAL MODEL; BIOLOGY; CHEMISTRY; CHROMATIN IMMUNOPRECIPITATION; COMPUTER PROGRAM; GENETIC DATABASE; HUMAN; METABOLISM; STATISTICAL MODEL; ARTICLE;

ALGORITHMS; BINDING SITES; CHROMATIN IMMUNOPRECIPITATION; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DEOXYRIBONUCLEASES; HUMANS; LOGISTIC MODELS; MODELS, BIOLOGICAL; SACCHAROMYCES CEREVISIAE PROTEINS; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 84891469243 PISSN: 23356928 EISSN: 23356936 Source Type: Journal
DOI: None Document Type: Conference Paper

Times cited : (24)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.