- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1474-760X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Identifying combinatorial regulation of transcription factors and binding motifs ; volume:5 ; number:8 ; day:28 ; month:7 ; year:2004 ; pages:1-13 ; date:7.2004
Genome biology ; 5, Heft 8 (28.7.2004), 1-13, 7.2004
- Creator
-
Katô, Mamoru
- Contributor
-
Hata, Naoya
Banerjee, Nilanjana
Futcher, Bruce
Zhang, Michael Q.
SpringerLink (Online service)
- DOI
-
10.1186/gb-2004-5-8-r56
- URN
-
urn:nbn:de:1111-2016050135055
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 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
- Katô, Mamoru
- Hata, Naoya
- Banerjee, Nilanjana
- Futcher, Bruce
- Zhang, Michael Q.
- SpringerLink (Online service)
Other Objects (12)
Variable structure motifs for transcription factor binding sites
The design of transcription-factor binding sites is affected by combinatorial regulation
Identifying transcription factors with cell-type specific DNA binding signatures
Negative selection maintains transcription factor binding motifs in human cancer
Genome-wide conserved consensus transcription factor binding motifs are hyper-methylated
Identifying the “stripe” transcription factors and cooperative binding related to DNA methylation
Genome-wide transcription factor binding site/promoter databases for the analysis of gene sets and co-occurrence of transcription factor binding motifs
A statistical approach for identifying single nucleotide variants that affect transcription factor binding
MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a binding site-specific evolutionary model
Identification and characterization of ERFlb transcription factor binding motifs and their target genes
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs
Identification and characterization of ERFIb transcription factor binding motifs and their target genes
Variable structure motifs for transcription factor binding sites
The design of transcription-factor binding sites is affected by combinatorial regulation
Identifying transcription factors with cell-type specific DNA binding signatures
Negative selection maintains transcription factor binding motifs in human cancer
Genome-wide conserved consensus transcription factor binding motifs are hyper-methylated
Identifying the “stripe” transcription factors and cooperative binding related to DNA methylation
Genome-wide transcription factor binding site/promoter databases for the analysis of gene sets and co-occurrence of transcription factor binding motifs
A statistical approach for identifying single nucleotide variants that affect transcription factor binding
MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a binding site-specific evolutionary model
Identification and characterization of ERFlb transcription factor binding motifs and their target genes
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs
Identification and characterization of ERFIb transcription factor binding motifs and their target genes
Variable structure motifs for transcription factor binding sites
The design of transcription-factor binding sites is affected by combinatorial regulation
Identifying transcription factors with cell-type specific DNA binding signatures
Negative selection maintains transcription factor binding motifs in human cancer
Genome-wide conserved consensus transcription factor binding motifs are hyper-methylated
Identifying the “stripe” transcription factors and cooperative binding related to DNA methylation
Genome-wide transcription factor binding site/promoter databases for the analysis of gene sets and co-occurrence of transcription factor binding motifs
A statistical approach for identifying single nucleotide variants that affect transcription factor binding
MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a binding site-specific evolutionary model
Identification and characterization of ERFlb transcription factor binding motifs and their target genes
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs