[PDF] Artificial Intelligence and Molecular Biology – Lawrence Hunter Book Details
The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.
[PDF] Artificial Intelligence and Molecular Biology – Lawrence Hunter Table Of Contents
Artificial Intelligence and Molecular Biology
|Series:||AAAI Press Copublications|
|Publisher:||AAAI Press; MIT Press [distributor]|
|Size:||2 MB (1648938 bytes)||Extension:|