False occurrences of functional motifs in protein sequences highlight evolutionary constraints
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
False occurrences of functional motifs in protein sequences highlight evolutionary constraints ; volume:8 ; number:1 ; day:01 ; month:3 ; year:2007 ; pages:1-13 ; date:12.2007
BMC bioinformatics ; 8, Heft 1 (01.3.2007), 1-13, 12.2007
- Creator
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Via, Allegra
- Contributor
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Gherardini, Pier Federico
Ferraro, Enrico
Ausiello, Gabriele
Scalia Tomba, Gianpaolo
Helmer-Citterich, Manuela
SpringerLink (Online service)
- DOI
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10.1186/1471-2105-8-68
- URN
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urn:nbn:de:1111-2016021632750
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:30 AM CEST
Data provider
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Associated
- Via, Allegra
- Gherardini, Pier Federico
- Ferraro, Enrico
- Ausiello, Gabriele
- Scalia Tomba, Gianpaolo
- Helmer-Citterich, Manuela
- SpringerLink (Online service)
Other Objects (12)
Fast and exact quantification of motif occurrences in biological sequences
Determining significance of pairwise co-occurrences of events in bursty sequences
Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements
WildSpan: mining structured motifs from protein sequences
Recognition of short functional motifs in protein sequences
Chapter XX. Subsequent occurrences
Highlight, 9.
Highlight Notes
Highlight Notes
New scoring schema for finding motifs in DNA Sequences
Managing false positives during detection of pathogen sequences in shotgun metagenomics datasets
BLAMM: BLAS-based algorithm for finding position weight matrix occurrences in DNA sequences on CPUs and GPUs
Fast and exact quantification of motif occurrences in biological sequences
Determining significance of pairwise co-occurrences of events in bursty sequences
Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements
WildSpan: mining structured motifs from protein sequences
Recognition of short functional motifs in protein sequences
Chapter XX. Subsequent occurrences
Highlight, 9.
Highlight Notes
Highlight Notes
New scoring schema for finding motifs in DNA Sequences
Managing false positives during detection of pathogen sequences in shotgun metagenomics datasets
BLAMM: BLAS-based algorithm for finding position weight matrix occurrences in DNA sequences on CPUs and GPUs
Fast and exact quantification of motif occurrences in biological sequences
Determining significance of pairwise co-occurrences of events in bursty sequences
Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements
WildSpan: mining structured motifs from protein sequences
Recognition of short functional motifs in protein sequences
Chapter XX. Subsequent occurrences
Highlight, 9.
Highlight Notes
Highlight Notes
New scoring schema for finding motifs in DNA Sequences
Managing false positives during detection of pathogen sequences in shotgun metagenomics datasets