- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Mining for class-specific motifs in protein sequence classification ; volume:14 ; number:1 ; day:15 ; month:3 ; year:2013 ; pages:1-14 ; date:12.2013
BMC bioinformatics ; 14, Heft 1 (15.3.2013), 1-14, 12.2013
- Creator
-
Srinivasan, Satish M.
- Contributor
-
Vural, Suleyman
King, Brian R.
Guda, Chittibabu
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-14-96
- URN
-
urn:nbn:de:1111-2016021740530
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 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
- Srinivasan, Satish M.
- Vural, Suleyman
- King, Brian R.
- Guda, Chittibabu
- SpringerLink (Online service)
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Sequence Pattern Mining & Time Series (06.01.2011)
Within-class multimodal classification
Algorithms for finding RNA sequence-structure motifs
Sequence Bundles: a novel method for visualising, discovering and exploring sequence motifs
DESQ: frequent sequence mining with subsequence constraints
LASH: Large-scale sequence mining with hierarchies
Closing the gap: Sequence mining at scale
Classification of protein motifs based on subcellular localization uncovers evolutionary relationships at both sequence and functional levels