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

A A Mironov; P S Novichkov; M S Gelfand

doi:10.1093/bioinformatics/17.1.13

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

A A Mironov·P S Novichkov·M S Gelfand

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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).

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Algorithms Computational Biology Frameshifting, Ribosomal Humans Proteins Sequence Alignment Sequence Analysis, DNA Software Journal Article Research Support, Non-U.S. Gov't

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A A Mironov, P S Novichkov, M S Gelfand. 2001. Pro-Frame: similarity-based gene recognition in eukaryotic DNA sequences with errors.. https://doi.org/10.1093/bioinformatics%2F17.1.13

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