4.7 Article

genBlastG: using BLAST searches to build homologous gene models

Journal

BIOINFORMATICS
Volume 27, Issue 15, Pages 2141-2143

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr342

Keywords

-

Funding

  1. Natural Sciences and Engineering Research Council of Canada (NSERC)
  2. SFU Community Trust
  3. 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

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available