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Title
RSAT peak-motifs: motif analysis in full-size ChIP-seq datasets
Authors
Keywords
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Journal
NUCLEIC ACIDS RESEARCH
Volume 40, Issue 4, Pages e31-e31
Publisher
Oxford University Press (OUP)
Online
2011-12-10
DOI
10.1093/nar/gkr1104
References
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Related references
Note: Only part of the references are listed.- DREME: motif discovery in transcription factor ChIP-seq data
- (2011) Timothy L. Bailey BIOINFORMATICS
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- ChIP-Seq identification of weakly conserved heart enhancers
- (2010) Matthew J Blow et al. NATURE GENETICS
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- (2010) S. Gama-Castro et al. NUCLEIC ACIDS RESEARCH
- High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions
- (2010) Phaedra Agius et al. PLoS Computational Biology
- Motif discovery and motif finding from genome-mapped DNase footprint data
- (2009) Ivan V. Kulakovskiy et al. BIOINFORMATICS
- ChIP-seq accurately predicts tissue-specific activity of enhancers
- (2009) Axel Visel et al. NATURE
- JASPAR 2010: the greatly expanded open-access database of transcription factor binding profiles
- (2009) Elodie Portales-Casamar et al. NUCLEIC ACIDS RESEARCH
- A Biophysical Model for Analysis of Transcription Factor Interaction and Binding Site Arrangement from Genome-Wide Binding Data
- (2009) Xin He et al. PLoS One
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- (2009) Ben Langmead et al. GENOME BIOLOGY
- Integration of External Signaling Pathways with the Core Transcriptional Network in Embryonic Stem Cells
- (2008) Xi Chen et al. CELL
- RSAT: regulatory sequence analysis tools
- (2008) M. Thomas-Chollier et al. NUCLEIC ACIDS RESEARCH
- Model-based Analysis of ChIP-Seq (MACS)
- (2008) Yong Zhang et al. GENOME BIOLOGY
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