Pro-Frame: similarity-based gene recognition in eukaryotic DNA sequences with errors.
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).
Mironov
A A
AA
State Scientific Center for Biotechnology NIIGenetika, Moscow, 113545, Russia.
Novichkov
P S
PS
Gelfand
M S
MS
D000465:Algorithms; D019295:Computational Biology; D018965:Frameshifting, Ribosomal; D006801:Humans; D011506:Proteins / Q000235:genetics; D016415:Sequence Alignment / Q000379:methods* / Q000706:statistics & numerical data; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000706:statistics & numerical data; D012984:Software
D011506:Proteins