ChromVAR: Inferring transcription-factor-associated accessibility from single-cell epigenomic data

Nature Methods

Volumn 14, Issue 10, 2017, Pages 975-978

  Schep, Alicia N ^a,b   Wu, Beijing ^a,b   Buenrostro, Jason D ^c,d   Greenleaf, William J ^a,b,e  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b STANFORD UNIVERSITY   (United States)

^c BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^d HARVARD UNIVERSITY   (United States)

^e CHAN ZUCKERBERG BIOHUB   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANS ACTING FACTOR; TRANSCRIPTION FACTOR;

ARTICLE; ASSAY; CHROMATIN ACCESSIBILITY ASSAY; DNA BASE COMPOSITION; EPIGENETICS; GENE DOSAGE; HEMATOPOIESIS; POSITION WEIGHT MATRIX; PRIORITY JOURNAL; REGULATORY DNA SEQUENCE; ALGORITHM; ANIMAL; CELL LINE; DNA SEQUENCE; GENE EXPRESSION REGULATION; METABOLISM; PROCEDURES; SOFTWARE;

ALGORITHMS; ANIMALS; CELL LINE; EPIGENOMICS; GENE EXPRESSION REGULATION; SEQUENCE ANALYSIS, DNA; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 85031018871     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4401     Document Type: Article

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