期刊
BIOINFORMATICS
卷 27, 期 15, 页码 2141-2143出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr342
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资金
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- SFU Community Trust
- NSERC
Motivation: BLAST users frequently expect to obtain homologous genes with certain similarity to their query genes. But what they get from BLAST searches are often collections of local alignments called high-scoring segment pairs (HSPs). On the other hand, most homology-based gene finders have been built using computation-intensive algorithms, without taking full advantage of BLAST searches that have been perfected over the last decades. Results: Here we report an efficient algorithm, genBlastG that directly uses the HSPs reported by BLAST to define high-quality gene models.
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