| Literature DB >> 11222258 |
A A Mironov1, P S Novichkov, M S Gelfand.
Abstract
Performance of existing algorithms for similarity-based gene recognition in eukaryotes drops when the genomic DNA has been sequenced with errors. A modification of the spliced alignment algorithm allows for gene recognition in sequences with errors, in particular frameshifts. It tolerates up to 5% of sequencing errors without considerable drop of prediction reliability when a sufficiently close homologous protein is available (normalized evolutionary distance similarity score 50% or higher).Mesh:
Substances:
Year: 2001 PMID: 11222258 DOI: 10.1093/bioinformatics/17.1.13
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937