Non-targeted transcription factors motifs are a systemic component of ChIP-seq datasets
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1474-760X
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Non-targeted transcription factors motifs are a systemic component of ChIP-seq datasets ; volume:15 ; number:7 ; day:29 ; month:7 ; year:2014 ; pages:1-16 ; date:7.2014
Genome biology ; 15, Heft 7 (29.7.2014), 1-16, 7.2014
- Creator
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Worsley Hunt, Rebecca
- Contributor
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Wasserman, Wyeth W.
SpringerLink (Online service)
- DOI
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10.1186/s13059-014-0412-4
- URN
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urn:nbn:de:1111-2016050213751
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:49 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Worsley Hunt, Rebecca
- Wasserman, Wyeth W.
- SpringerLink (Online service)
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Principles of ChIP-seq Data Analysis Illustrated with Examples
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Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
RELACS nuclei barcoding enables high-throughput ChIP-seq
ChIPseqR: analysis of ChIP-seq experiments
BayesPeak: Bayesian analysis of ChIP-seq data
HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
iASeq: integrative analysis of allele-specificity of protein-DNA interactions in multiple ChIP-seq datasets
Principles of ChIP-seq Data Analysis Illustrated with Examples
Limitations and possibilities of low cell number ChIP-seq
Differential motif enrichment analysis of paired ChIP-seq experiments
Model-based Analysis of ChIP-Seq (MACS)
Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
RELACS nuclei barcoding enables high-throughput ChIP-seq
ChIPseqR: analysis of ChIP-seq experiments
BayesPeak: Bayesian analysis of ChIP-seq data
HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
iASeq: integrative analysis of allele-specificity of protein-DNA interactions in multiple ChIP-seq datasets
Principles of ChIP-seq Data Analysis Illustrated with Examples
Limitations and possibilities of low cell number ChIP-seq