Pro-Frame: similarity-based gene recognition in eukaryotic DNA sequences with errors.

Mironov, A A; Novichkov, P S; Gelfand, M S · Bioinformatics · 2001

basic_science · Level V

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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).

Medical subject headings