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

@article{Mironov2001ProFrameSG,
  title={Pro-Frame: similarity-based gene recognition in eukaryotic DNA sequences with errors},
  author={Andrey A. Mironov and Pavel S. Novichkov and Mikhail S. Gelfand},
  journal={Bioinformatics},
  year={2001},
  volume={17 1},
  pages={13-5}
}
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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