- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Quantitative sequence-function relationships in proteins based on gene ontology ; volume:8 ; number:1 ; day:08 ; month:8 ; year:2007 ; pages:1-15 ; date:12.2007
BMC bioinformatics ; 8, Heft 1 (08.8.2007), 1-15, 12.2007
- Creator
-
Sangar, Vineet
- Contributor
-
Blankenberg, Daniel J.
Altman, Naomi
Lesk, Arthur M.
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-8-294
- URN
-
urn:nbn:de:1111-2016021630492
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 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
- Sangar, Vineet
- Blankenberg, Daniel J.
- Altman, Naomi
- Lesk, Arthur M.
- SpringerLink (Online service)
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Learning Quantitative Sequence–Function Relationships from Massively Parallel Experiments
The simplicity of protein sequence-function relationships
Structure– and sequence–function relationships in (S)-amine transaminases and related enzymes
Quantitative assessment of relationship between sequence similarity and function similarity
Systematic analysis of the sequence-structure-function relationships of thiamine diphosphate-dependent enzymes
Ontology-guided data preparation for discovering genotype-phenotype relationships
Sequence-structure relationships in mRNAs
Sequence-structure relationships in mRNAs
SALON ontology for the formal description of sequence alignments
Improving the Sequence Ontology terminology for genomic variant annotation
Data integration and data mining for the exploration of enzymatic sequence-structure-function relationships
Missing lateral relationships in top-level concepts of an ontology
Learning Quantitative Sequence–Function Relationships from Massively Parallel Experiments
The simplicity of protein sequence-function relationships
Structure– and sequence–function relationships in (S)-amine transaminases and related enzymes
Quantitative assessment of relationship between sequence similarity and function similarity
Systematic analysis of the sequence-structure-function relationships of thiamine diphosphate-dependent enzymes
Ontology-guided data preparation for discovering genotype-phenotype relationships
Sequence-structure relationships in mRNAs
Sequence-structure relationships in mRNAs
SALON ontology for the formal description of sequence alignments
Improving the Sequence Ontology terminology for genomic variant annotation
Data integration and data mining for the exploration of enzymatic sequence-structure-function relationships