期刊
BIOINFORMATICS
卷 17, 期 1, 页码 13-15出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/17.1.13
关键词
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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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