The Prediction of Human Exons By Oligonucleotide Composition and Disriminant Analysis of Spliceable Open Reading Frames
The Prediction of Human Exons By Oligonucleotide Composition and Disriminant Analysis of Spliceable Open Reading Frames
复制标题
通过寡核苷酸组成和可剪接开放阅读框的判别分析预测人类外显子
DOI：
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
C. Lawrence
中科院分区：
文献类型：
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作者：
V. Solovyev;A. Salamov;C. Lawrence
Discriminant analysis is applied to the problem of recognition 5'-, internal and 3'-exons in human DNA sequences. Specific recognition functions were developed for revealing exons of particular types. The method based on a splice site prediction algorithm that uses the linear Fisher discriminant to combine the information about significant triplet frequencies of various functional parts of splice site regions and preferences of oligonucleotides in protein coding and intron regions (Solovyev, Lawrence, 1994). The accuracy of our splice site recognition function is about 97%. A discriminant function for 5'-exon prediction includes hexanucleotide composition of upstream region, triplet composition around the ATG codon, ORF coding potential, donor splice site potential and composition of downstream intron region. For internal exon prediction, we combine in a discriminant function the characteristics describing the 5'-intron region, donor splice site, coding region, acceptor splice site and 3'-intron region for each open reading frame flanked by GT and AG base pairs. The accuracy of precise internal exon recognition on a test set of 451 exon and 246693 pseudoexon sequences is 77% with a specificity of 79% and a level of pseudoexon ORF prediction of 99.96%. The recognition quality computed at the level of individual nucleotides is 89% for exon sequences and 98% for intron sequences. A discriminant function for 3'-exon prediction includes octanucleotide composition of upstream intron region, triplet composition around the stop codon, ORF coding potential, acceptor splice site potential and hexanucleotide composition of downstream region.(ABSTRACT TRUNCATED AT 250 WORDS)
影响因子：
5.6
作者：
GUIGO, R;KNUDSEN, S;SMITH, T
通讯作者：
SMITH, T