Bayesian search of functionally divergent protein subgroups and their function specific residues | Zendy

Pekka Marttinen | Zendy; Jukka Corander | Zendy; Petri Törönen | Zendy; Liisa Holm | Zendy

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Bayesian search of functionally divergent protein subgroups and their function specific residues

Author(s) -

Pekka Marttinen,

Jukka Corander,

Petri Törönen,

Liisa Holm

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl411

Subject(s) - cluster analysis , computer science , identification (biology) , bayesian probability , a priori and a posteriori , data mining , sensitivity (control systems) , sequence (biology) , contrast (vision) , software , machine learning , artificial intelligence , biology , genetics , philosophy , botany , epistemology , electronic engineering , engineering , programming language

The rapid increase in the amount of protein sequence data has created a need for an automated identification of evolutionarily related subgroups from large datasets. The existing methods typically require a priori specification of the number of putative groups, which defines the resolution of the classification solution.

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