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Sequence-based feature prediction and annotation of proteins
- Juncker, Agnieszka S (author)
- Jensen, Lars J (author)
- Pierleoni, Andrea (author)
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- Tress, Michael L (author)
- Bork, Peer (author)
- Valencia, Alfonso (author)
- Ouzounis, Christos A (author)
- Casadio, Rita (author)
- Brunak, Søren (author)
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- (creator_code:org_t)
- Springer Science and Business Media LLC, 2009
- 2009
- English.
- In: Genome biology. - : Springer Science and Business Media LLC. - 1465-6914 .- 1465-6906. ; 10:2, s. 206-
- Journal article (peer-reviewed)
Abstract
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- 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.
Keyword
- Proteins
- Protein Kinases
- NATURAL SCIENCES
- NATURVETENSKAP
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- ref (subject category)
- art (subject category)
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- Genome biology
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- Stockholm University
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