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

A. A. Mironov, P. S. Novichkov, M. S. Gelfand

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Summary: 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).

Original languageEnglish
Pages (from-to)13-15
Number of pages3
JournalBioinformatics
Volume17
Issue number1
DOIs
Publication statusPublished - 2001
Externally publishedYes

Fingerprint

Dive into the research topics of 'Pro-Frame: Similarity-based gene recognition in eukaryotic DNA sequences with errors'. Together they form a unique fingerprint.

Cite this