An artificial intelligence approach to DNA sequence feature recognition

• Published in: Trends 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
• Language: English
• 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

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...