LocTree2 predicts localization for all domains of life | Zendy

Tatyana Goldberg | Zendy; Tobias Hamp | Zendy; Burkhard Rost | Zendy

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LocTree2 predicts localization for all domains of life

Author(s) -

Tatyana Goldberg,

Tobias Hamp,

Burkhard Rost

Publication year - 2012

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/bts390

Subject(s) - three domain system , subcellular localization , sorting , computer science , function (biology) , support vector machine , computational biology , protein subcellular localization prediction , archaea , protein function , artificial intelligence , biology , data mining , bacteria , algorithm , microbiology and biotechnology , gene , cytoplasm , genetics

Subcellular localization is one aspect of protein function. Despite advances in high-throughput imaging, localization maps remain incomplete. Several methods accurately predict localization, but many challenges remain to be tackled.

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