Abstract
Summary: 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. © The Author 2006. Published by Oxford University Press. All rights reserved.
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CITATION STYLE
Bainbridge, M. N., Warren, R. L., He, A., Bilenky, M., Robertson, A. G., & Jones, S. J. M. (2007). THOR: Targeted high-throughput ortholog reconstructor. Bioinformatics, 23(19), 2622–2624. https://doi.org/10.1093/bioinformatics/btl513
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