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.

Juncker A.S., Jensen L.J., Pierleoni A., Bernsel A., Tress M.L., Bork P., et al. (2009). Sequence-based feature prediction and annotation of proteins. GENOME BIOLOGY, 10, 206-206 [10.1186/gb-2009-10-2-206].

Sequence-based feature prediction and annotation of proteins.

PIERLEONI, ANDREA;CASADIO, RITA;
2009

Abstract

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.
2009
Juncker A.S., Jensen L.J., Pierleoni A., Bernsel A., Tress M.L., Bork P., et al. (2009). Sequence-based feature prediction and annotation of proteins. GENOME BIOLOGY, 10, 206-206 [10.1186/gb-2009-10-2-206].
Juncker A.S.; Jensen L.J.; Pierleoni A.; Bernsel A.; Tress M.L.; Bork P.; von Heijne G.; Valencia A.; Ouzounis C.A.; Casadio R.; Brunak S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/73185
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