- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Predicting active site residue annotations in the Pfam database ; volume:8 ; number:1 ; day:09 ; month:8 ; year:2007 ; pages:1-14 ; date:12.2007
BMC bioinformatics ; 8, Heft 1 (09.8.2007), 1-14, 12.2007
- Creator
-
Mistry, Jaina
- Contributor
-
Bateman, Alex
Finn, Robert D.
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-8-298
- URN
-
urn:nbn:de:1111-2016021632407
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 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
- Mistry, Jaina
- Bateman, Alex
- Finn, Robert D.
- SpringerLink (Online service)
Other Objects (12)
Predicting protein residue-residue contacts using random forests and deep networks
Predicting OCT biological marker localization from weak annotations
Columba: an integrated database of proteins, structures, and annotations
Risk assessment of hormonally active pesticide residue mixtures
Predicting the Real‐Valued Inter‐Residue Distances for Proteins
miRFANs: an integrated database for Arabidopsis thalianamicroRNA function annotations
Chronological and geographical annotations in DAMOS : database of Mycenaean at Oslo
Estimating the annotation error rate of curated GO database sequence annotations
Annotations.
Annotations
Active rules in database systems
NoGOA: predicting noisy GO annotations using evidences and sparse representation
Predicting protein residue-residue contacts using random forests and deep networks
Predicting OCT biological marker localization from weak annotations
Columba: an integrated database of proteins, structures, and annotations
Risk assessment of hormonally active pesticide residue mixtures
Predicting the Real‐Valued Inter‐Residue Distances for Proteins
miRFANs: an integrated database for Arabidopsis thalianamicroRNA function annotations
Chronological and geographical annotations in DAMOS : database of Mycenaean at Oslo
Estimating the annotation error rate of curated GO database sequence annotations
Annotations.
Annotations
Active rules in database systems
NoGOA: predicting noisy GO annotations using evidences and sparse representation
Predicting protein residue-residue contacts using random forests and deep networks
Predicting OCT biological marker localization from weak annotations
Columba: an integrated database of proteins, structures, and annotations
Risk assessment of hormonally active pesticide residue mixtures
Predicting the Real‐Valued Inter‐Residue Distances for Proteins
miRFANs: an integrated database for Arabidopsis thalianamicroRNA function annotations
Chronological and geographical annotations in DAMOS : database of Mycenaean at Oslo
Estimating the annotation error rate of curated GO database sequence annotations
Annotations.
Annotations
Active rules in database systems