title: genBlastG: using BLAST searches to build homologous gene models.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  http://genome.sfu.ca/genblast/download.html
authors.affiliation: School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada V5A 0A1.
authors.forename: Rong
authors.initials: R
authors.lastname: She
authors.forename: Jeffrey Shih-Chieh
authors.initials: JS
authors.lastname: Chu
authors.forename: Bora
authors.initials: B
authors.lastname: Uyar
authors.forename: Jun
authors.initials: J
authors.lastname: Wang
authors.forename: Ke
authors.initials: K
authors.lastname: Wang
authors.forename: Nansheng
authors.initials: N
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D000818:Animals; D017360:Arabidopsis / Q000235:genetics; D017173:Caenorhabditis elegans / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D023281:Genomics / Q000379:methods; D008957:Models, Genetic; D016415:Sequence Alignment