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Pro-Frame:具有错误的真核生物DNA序列中基于相似性的基因识别

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

作者信息

Mironov A A, Novichkov P S, Gelfand M S

机构信息

State Scientific Center for Biotechnology NIIGenetika, Moscow, 113545, Russia.

出版信息

Bioinformatics. 2001 Jan;17(1):13-5. doi: 10.1093/bioinformatics/17.1.13.

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).

摘要

当基因组DNA测序存在错误时,真核生物中基于相似性的现有基因识别算法的性能会下降。对剪接比对算法的一种改进允许在存在错误的序列中进行基因识别,特别是移码错误。当有足够接近的同源蛋白可用时(标准化进化距离相似性得分50%或更高),它能容忍高达5%的测序错误而不会使预测可靠性大幅下降。

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