By Lawrence E. Hunter
The huge, immense quantity of information generated by means of the Human Genome venture and different large-scale organic study has created a wealthy and hard area for study in synthetic intelligence. those unique contributions offer a present sampling of AI techniques to difficulties of organic value; they're the 1st to regard the computational wishes of the biology neighborhood hand-in-hand with acceptable advances in man made intelligence. concentrating on novel applied sciences and ways, instead of on confirmed functions, they hide genetic series research, protein constitution illustration and prediction, computerized info research aids, and simulation of organic platforms. a quick introductory primer on molecular biology and Al provides computing device scientists adequate historical past to appreciate a lot of the biology mentioned within the book.Lawrence Hunter is Director of the desktop studying venture on the nationwide Library of medication, nationwide Institutes of Health.
Though this can be a previous ebook (from 1993) nonetheless has reliable primers &touches introductory topics.
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Extra resources for Artificial Intelligence and Molecular Biology (American Association for Artificial Intelligence)
States deserves much of the credit as well. In the three years we have been working together, he greatly extended my understanding of not only what biologists know, but how they think. He has read several drafts of this chapter and made helpful suggestions. David Landsman, Mark Boguski, Kalí Tal and Jill Shirmer have also read the chapter and made suggestions. Angel Lee graciously supplied the gel used in Figure 4. Of course, all remaining mistakes are my responsibility. References Adams, M. , Kerlavage, A.
This shortcoming of regular expressions for language specification can be remedied through the use of more powerful representations, called grammars.
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