| Literature DB >> 12217921 |
Yan Zhou1, Guyang Matthew Huang, Liping Wei.
Abstract
MOTIVATION: More and more often, a gene is epitomized by a large number of sequences in GenBank. This high redundancy makes it very difficult to identify a unique best match for a query sequence from its BLAST results. We developed a novel program UniBLAST that filters out uninformative hits, clusters the redundant hits, groups the hits by LocusLink, and graphically displays the results. We also implemented a scoring function in UniBLAST to assign a unique gene name to a query sequence. UniBLAST significantly increases the efficiency of gene annotation. AVAILABILITY: The program is available at http://south.genomics.org.cn/software/uniblast/index.html CONTACT: uniblast@genomics.org.cn; wei@nexusgenomics.comMesh:
Year: 2002 PMID: 12217921 DOI: 10.1093/bioinformatics/18.9.1268
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937