Mironov A A, Novichkov P S, Gelfand M S
State Scientific Center for Biotechnology NIIGenetika, Moscow, 113545, Russia.
Bioinformatics. 2001 Jan;17(1):13-5. doi: 10.1093/bioinformatics/17.1.13.
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).
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。
