An artificial intelligence approach to DNA sequence feature recognition

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 × 109 bases of the human genome. This necessitates development of reliable computer-based methods capable of analysing and correctly identifying...

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Bibliographic Details
Published inTrends in biotechnology (Regular ed.) Vol. 10; no. 1-2; pp. 66 - 69
Main Authors Mural, Richard J., Ralph Einstein, J., Guan, Xiaojun, Mann, Reinhold C., Uberbacher, Edward C.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 1992
Elsevier Science
Subjects
Artificial Intelligence
Base Sequence
Biological and medical sciences
Biotechnology
Databases, Factual
DNA - genetics
Fundamental and applied biological sciences. Psychology
General aspects
Human Genome Project
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Molecular Sequence Data
Human
Gene
Nucleotide sequence
DNA
Database
Neural network
Genome
Algorithm
Artificial intelligence
Computer aid
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Summary: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 × 109 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.
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ISSN:0167-7799
1879-3096
DOI:10.1016/0167-7799(92)90173-S