THOR: targeted high-throughput ortholog reconstructor

Bioinformatics. 2007 Oct 1;23(19):2622-4. doi: 10.1093/bioinformatics/btl513. Epub 2006 Oct 11.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Base Sequence
  • Chromosome Mapping / methods*
  • Gene Targeting / methods*
  • Genome, Human / genetics*
  • Humans
  • Molecular Sequence Data
  • Programming Languages
  • Sequence Alignment / methods
  • Sequence Analysis, DNA / methods*
  • Sequence Homology, Nucleic Acid
  • Software*