- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Differential motif enrichment analysis of paired ChIP-seq experiments ; volume:15 ; number:1 ; day:2 ; month:9 ; year:2014 ; pages:1-13 ; date:12.2014
BMC genomics ; 15, Heft 1 (2.9.2014), 1-13, 12.2014
- Creator
-
Lesluyes, Tom
- Contributor
-
Johnson, James
Machanick, Philip
Bailey, Timothy L.
SpringerLink (Online service)
- DOI
-
10.1186/1471-2164-15-752
- URN
-
urn:nbn:de:1111-2016072857697
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:45 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lesluyes, Tom
- Johnson, James
- Machanick, Philip
- Bailey, Timothy L.
- SpringerLink (Online service)
Other Objects (12)
Improving analysis of transcription factor binding sites within ChIP-Seq data based on topological motif enrichment
Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data
A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Model-based Analysis of ChIP-Seq (MACS)
Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
Cell-type and transcription factor specific enrichment of transcriptional cofactor motifs in ENCODE ChIP-seq data
An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
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
Improving analysis of transcription factor binding sites within ChIP-Seq data based on topological motif enrichment
Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data
A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Model-based Analysis of ChIP-Seq (MACS)
Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
Cell-type and transcription factor specific enrichment of transcriptional cofactor motifs in ENCODE ChIP-seq data
An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
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
Improving analysis of transcription factor binding sites within ChIP-Seq data based on topological motif enrichment
Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data
A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Model-based Analysis of ChIP-Seq (MACS)
Normalization of ChIP-seq data with control
Shape-based peak identification for ChIP-Seq
Cell-type and transcription factor specific enrichment of transcriptional cofactor motifs in ENCODE ChIP-seq data
An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
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