- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Evaluating tools for transcription factor binding site prediction ; day:2 ; month:11 ; year:2016 ; pages:1-12
BMC bioinformatics ; (2.11.2016), 1-12
- Creator
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Jayaram, Narayan
- Contributor
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Usvyat, Daniel
R. Martin, Andrew C.
SpringerLink (Online service)
- DOI
-
10.1186/s12859-016-1298-9
- URN
-
urn:nbn:de:1111-2016112715219
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 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
- Jayaram, Narayan
- Usvyat, Daniel
- R. Martin, Andrew C.
- SpringerLink (Online service)
Other Objects (12)
Scoring functions for transcription factor binding site prediction
Combining prior information for the prediction of transcription factor binding sites
Combining Prior Information for the Prediction of Transcription Factor Binding Sites
Statistics for transcription factor binding sites
Genome-wide prediction of transcription factor binding sites using an integrated model
Exploiting ancestral mammalian genomes for the prediction of human transcription factor binding sites
Simultaneous prediction of transcription factor binding sites in a group of prokaryotic genomes
An efficient algorithm for improving structure-based prediction of transcription factor binding sites
Adaptive evolution of transcription factor binding sites
Measuring similarities between transcription factor binding sites
Co-occurrence of transcription factor binding sites
Computational framework for the prediction of transcription factor binding sites by multiple data integration
Scoring functions for transcription factor binding site prediction
Combining prior information for the prediction of transcription factor binding sites
Combining Prior Information for the Prediction of Transcription Factor Binding Sites
Statistics for transcription factor binding sites
Genome-wide prediction of transcription factor binding sites using an integrated model
Exploiting ancestral mammalian genomes for the prediction of human transcription factor binding sites
Simultaneous prediction of transcription factor binding sites in a group of prokaryotic genomes
An efficient algorithm for improving structure-based prediction of transcription factor binding sites
Adaptive evolution of transcription factor binding sites
Measuring similarities between transcription factor binding sites
Co-occurrence of transcription factor binding sites
Computational framework for the prediction of transcription factor binding sites by multiple data integration
Scoring functions for transcription factor binding site prediction
Combining prior information for the prediction of transcription factor binding sites
Combining Prior Information for the Prediction of Transcription Factor Binding Sites
Statistics for transcription factor binding sites
Genome-wide prediction of transcription factor binding sites using an integrated model
Exploiting ancestral mammalian genomes for the prediction of human transcription factor binding sites
Simultaneous prediction of transcription factor binding sites in a group of prokaryotic genomes
An efficient algorithm for improving structure-based prediction of transcription factor binding sites
Adaptive evolution of transcription factor binding sites
Measuring similarities between transcription factor binding sites
Co-occurrence of transcription factor binding sites