Improving genome annotations using phylogenetic profile anomaly detection | Zendy

Tarjei S. Mikkelsen | Zendy; James E. Galagan | Zendy; Jill P. Mesirov | Zendy

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Improving genome annotations using phylogenetic profile anomaly detection

Author(s) -

Tarjei S. Mikkelsen,

James E. Galagan,

Jill P. Mesirov

Publication year - 2004

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/bti027

Subject(s) - genome , computer science , annotation , phylogenetic tree , scripting language , genome project , software , data mining , computational biology , gene , biology , artificial intelligence , genetics , programming language , operating system

A promising strategy for refining genome annotations is to detect features that conflict with known functional or evolutionary relationships between groups of genes. Previous work in this area has been focused on investigating the absence of 'housekeeping' genes or components of well-studied pathways. We have sought to develop a method for improving new annotations that can automatically synthesize and use the information available in a database of other annotated genomes.

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