Sequence-based feature prediction and annotation of proteins

A recent trend in computational methods for annotation of protein function is that many prediction tools are combined in complex workflows and pipelines to facilitate the analysis of feature combinations, for example, the entire repertoire of kinase-binding motifs in the human proteome.

Detalles Bibliográficos
Autores principales: Juncker, Agnieszka S, Jensen, Lars J, Pierleoni, Andrea, Bernsel, Andreas, Tress, Michael L, Bork, Peer, von Heijne, Gunnar, Valencia, Alfonso, Ouzounis, Christos A, Casadio, Rita, Brunak, Søren
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688272/
https://www.ncbi.nlm.nih.gov/pubmed/19226438
http://dx.doi.org/10.1186/gb-2009-10-2-206
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author Juncker, Agnieszka S
Jensen, Lars J
Pierleoni, Andrea
Bernsel, Andreas
Tress, Michael L
Bork, Peer
von Heijne, Gunnar
Valencia, Alfonso
Ouzounis, Christos A
Casadio, Rita
Brunak, Søren
author_facet Juncker, Agnieszka S
Jensen, Lars J
Pierleoni, Andrea
Bernsel, Andreas
Tress, Michael L
Bork, Peer
von Heijne, Gunnar
Valencia, Alfonso
Ouzounis, Christos A
Casadio, Rita
Brunak, Søren
author_sort Juncker, Agnieszka S
collection PubMed
description A recent trend in computational methods for annotation of protein function is that many prediction tools are combined in complex workflows and pipelines to facilitate the analysis of feature combinations, for example, the entire repertoire of kinase-binding motifs in the human proteome.
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spelling pubmed-26882722010-02-02 Sequence-based feature prediction and annotation of proteins Juncker, Agnieszka S Jensen, Lars J Pierleoni, Andrea Bernsel, Andreas Tress, Michael L Bork, Peer von Heijne, Gunnar Valencia, Alfonso Ouzounis, Christos A Casadio, Rita Brunak, Søren Genome Biol Review A recent trend in computational methods for annotation of protein function is that many prediction tools are combined in complex workflows and pipelines to facilitate the analysis of feature combinations, for example, the entire repertoire of kinase-binding motifs in the human proteome. BioMed Central 2009 2009-02-02 /pmc/articles/PMC2688272/ /pubmed/19226438 http://dx.doi.org/10.1186/gb-2009-10-2-206 Text en Copyright © 2009 BioMed Central Ltd
spellingShingle Review
Juncker, Agnieszka S
Jensen, Lars J
Pierleoni, Andrea
Bernsel, Andreas
Tress, Michael L
Bork, Peer
von Heijne, Gunnar
Valencia, Alfonso
Ouzounis, Christos A
Casadio, Rita
Brunak, Søren
Sequence-based feature prediction and annotation of proteins
title Sequence-based feature prediction and annotation of proteins
title_full Sequence-based feature prediction and annotation of proteins
title_fullStr Sequence-based feature prediction and annotation of proteins
title_full_unstemmed Sequence-based feature prediction and annotation of proteins
title_short Sequence-based feature prediction and annotation of proteins
title_sort sequence-based feature prediction and annotation of proteins
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688272/
https://www.ncbi.nlm.nih.gov/pubmed/19226438
http://dx.doi.org/10.1186/gb-2009-10-2-206
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