THOR: targeted high-throughput ortholog reconstructor | Zendy

Matthew N. Bainbridge | Zendy; René L. Warren | Zendy; Anyuan He | Zendy; Mikhail Bilenky | Zendy; A. Gordon Robertson | Zendy; Steven J.M. Jones | Zendy

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THOR: targeted high-throughput ortholog reconstructor

Author(s) -

Matthew N. Bainbridge,

René L. Warren,

Anyuan He,

Mikhail Bilenky,

A. Gordon Robertson,

Steven J.M. Jones

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/btl513

Subject(s) - sequence (biology) , genome , computational biology , throughput , biology , set (abstract data type) , whole genome sequencing , computer science , genetics , gene , programming language , telecommunications , wireless

Low-coverage genomes (LCGs) are becoming an increasingly important source of data for phylogenetic studies. However, assembly of these genomes is time consuming, difficult and lags behind sequence generation. THOR is a fast, stringent application for targeted reconstruction of sequence orthologs in unassembled LCGs. Using a 4x coverage set of mouse whole-genome sequence reads, THOR could partially or completely reconstruct 416/1000 human promoter ortholog regions in approximately 7.3 min/promoter. THOR's reconstruction rate improves markedly with both higher-coverage, and less divergent target species.

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