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Volumn 63, Issue 2, 2010, Pages 339-351

ANCORP: A high-resolution approach that generates distinct chromatin state models from multiple genome-wide datasets

Author keywords

Arabidopsis; chromatin states; data visualization; epigenome; gene length; transcriptome

Indexed keywords

ARABIDOPSIS; ARABIDOPSIS GENE; ASSOCIATION ANALYSIS; BIOLOGICAL FUNCTIONS; CATALYTIC COMPLEXES; CHROMATIN MODIFICATION; COMPLEX RELATIONSHIPS; DATA SETS; DNA METHYLATION; EPIGENOMES; FUNCTIONAL OUTPUTS; FUNCTIONAL RELEVANCE; GENE LENGTHS; GENE ONTOLOGY; HIER-ARCHICAL CLUSTERING; HIGH RESOLUTION; MOLECULAR PATTERNS; NUCLEOSOMES; PATTERN VISUALIZATION; QUANTITATIVE DATA; STATE MODELS; TRANSCRIPTION START SITE; TRANSCRIPTIONAL ACTIVITY; TRANSCRIPTOME ANALYSIS; TRANSCRIPTOMES; UNDER-REPRESENTED; VISUALIZATION METHOD;

EID: 77954434420     PISSN: 09607412     EISSN: 1365313X     Source Type: Journal    
DOI: 10.1111/j.1365-313X.2010.04236.x     Document Type: Article
Times cited : (18)

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