genBlastG: extending BLAST to be a high performance gene finder

Bioinformatics(2011)

引用 3|浏览4
暂无评分
摘要
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 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.Availability: http://genome. sfu. ca/genblast/download. htm l Contact: chenn@ sfu. ca
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要