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 mo dification of the spliced alignment algorithm allows for gene recognition i n sequences with errors, in particular frameshifts. It tolerates up to 5% o f sequencing errors without considerable drop of prediction reliability whe n a sufficiently close homologous protein is available (normalized evolutio nary distance similarity score 50% or higher).