Journal
BIOINFORMATICS
Volume 27, Issue 15, Pages 2141-2143Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr342
Keywords
-
Categories
Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- SFU Community Trust
- NSERC
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available