DIANA-EST: a statistical analysis

被引:19
作者
Hatzigeorgiou, AG
Fiziev, P
Reczko, M
机构
[1] Metagen GmbH, D-14195 Berlin, Germany
[2] Synapt Ltd, GR-71110 Voutes Heraklion, Greece
关键词
D O I
10.1093/bioinformatics/17.10.913
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Expressed Sequence Tags (ESTs) are next to cDNA sequences as the most direct way to locate in silico the genes of the genome and determine their structure. Currently ESTs make up more than 60% of all the database entries. The goal of this work is the development of a new program called DNA Intelligent Analysis for ESTs (DIANA-EST) based on a combination of Artificial Neural Networks (ANN) and statistics for the characterization of the coding regions within ESTs and the reconstruction of the encoded protein. Results: 89.7% of the nucleotides from an independent test set with 127 ESTs were predicted correctly as to whether they are coding or non coding.
引用
收藏
页码:913 / 919
页数:7
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