A hidden Markov model to identify combinatorial epigenetic regulation patterns for estrogen receptor α target genes
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Title
A hidden Markov model to identify combinatorial epigenetic regulation patterns for estrogen receptor α target genes
Authors
Keywords
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Journal
BIOINFORMATICS
Volume 29, Issue 1, Pages 22-28
Publisher
Oxford University Press (OUP)
Online
2012-10-27
DOI
10.1093/bioinformatics/bts639
References
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Related references
Note: Only part of the references are listed.- ChromHMM: automating chromatin-state discovery and characterization
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- (2011) Benjamin A.T. Rodriguez et al. CARCINOGENESIS
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- (2010) Xun Lan et al. BIOINFORMATICS
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- HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data
- (2010) Zhaohui S Qin et al. BMC BIOINFORMATICS
- Reversibility of pre-malignant estrogen-induced epigenetic changes
- (2010) Kristy Kutanzi et al. CELL CYCLE
- Estrogen-mediated epigenetic repression of large chromosomal regions through DNA looping
- (2010) P.-Y. Hsu et al. GENOME RESEARCH
- Discovery and characterization of chromatin states for systematic annotation of the human genome
- (2010) Jason Ernst et al. NATURE BIOTECHNOLOGY
- Charting histone modifications and the functional organization of mammalian genomes
- (2010) Vicky W. Zhou et al. NATURE REVIEWS GENETICS
- ChIP-Seq of ERα and RNA polymerase II defines genes differentially responding to ligands
- (2009) Willem-Jan Welboren et al. EMBO JOURNAL
- Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
- (2009) Da Wei Huang et al. Nature Protocols
- An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data
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- Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
- (2008) Da Wei Huang et al. NUCLEIC ACIDS RESEARCH
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