Journal
BIOINFORMATICS
Volume 35, Issue 1, Pages 149-151Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bty631
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Funding
- Japanese Society for the Promotion of Science [16H06154, 16H06279, 17H05834]
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Motivation: Orthology inference constitutes a common base of many genome-based studies, as a pre-requisite for annotating new genomes, finding target genes for biotechnological applications and revealing the evolutionary history of life. Although its importance keeps rising with the ever-growing number of sequenced genomes, existing tools are computationally demanding and difficult to employ. Results: Here, we present SonicParanoid, which is faster than, but comparably accurate to, the well-established tools with a balanced precision-recall trade-off. Furthermore, SonicParanoid substantially relieves the difficulties of orthology inference for those who need to construct and maintain their own genomic datasets.
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