Details

Autor(en) / Beteiligte

• Bainbridge, Matthew N.
• Warren, René L.
• He, An
• Bilenky, Mikhail
• Robertson, A. Gordon
• Jones, Steven J.M.

Titel

THOR: targeted high-throughput ortholog reconstructor

Ist Teil von

• Bioinformatics, 2007-10, Vol.23 (19), p.2622-2624

Ort / Verlag

Oxford: Oxford University Press

Erscheinungsjahr

2007

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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 4× coverage set of mouse whole-genome sequence reads, THOR could partially or completely reconstruct 416/1000 human promoter ortholog regions in ∼7.3 min/promoter. THOR's reconstruction rate improves markedly with both higher-coverage, and less divergent target species. Availability: THOR is implemented in java and is currently available as source code and as a web service (www.bcgsc.ca/services/thor) for reconstructing human sequences. Contact: matthewb@bcgsc.ca