AN ARTIFICIAL-INTELLIGENCE APPROACH TO DNA-SEQUENCE FEATURE RECOGNITION

被引：31

作者：

MURAL, RJ ^{[1
]}

EINSTEIN, JR ^{[1
]}

GUAN, XJ ^{[1
]}

MANN, RC ^{[1
]}

UBERBACHER, EC ^{[1
]}

机构：

[1] OAK RIDGE NATL LAB,DIV ENGN PHYS & MATH,OAK RIDGE,TN 37831

来源：

TRENDS IN BIOTECHNOLOGY | 1992年 / 10卷 / 1-2期

关键词：

D O I：

10.1016/0167-7799(92)90173-S

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

The ultimate goal of the Human Genome project is to extract the biologically relevant information recorded in the estimated 100 000 genes encoded by the 3 x 10(9) bases of the human genome. This necessitates development of reliable computer-based methods capable of analysing and correctly identifying genes in the vast amounts of DNA-sequence data generated. Such tools may save time and labour by simplifying, for example, screening of cDNA libraries. They may also facilitate the localization of human disease genes by identifying candidate genes in promising regions of anonymous DNA sequence.

引用

页码：66 / 69

页数：4

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