Series: Methods in Computational Biology and Biochemistry

The series is primarily devoted to methodology of nucleic acid and protein sequence analysis and structure prediction. Books included in the series are at advanced level and address state-of-the-art computational methods and concepts for research in molecular biology, biochemistry, structural biology, genomics, and proteomics. Each book in the series covers in detail a specific area of computational biology such that it can serve as a definitive reference on this area.

The series is designed for experts who are already involved in research in computational biology. Other anticipated readers are mature scientists who contemplate entering computational biology after having research experience in another field of science. It is not anticipated that the series will attract general readership. However, the authors of individual books are encouraged to include advanced tutorials concerning foundations of their specific sub-fields of computational biology. Thereby it will be possible to use books from the series as textbooks for students and researchers entering the field.

Book Series: Neural Networks and Genome Informatics

Most recent volume

Volume 1. Neural Networks and Genome Informatics

Published: 21st September 2000 Editors: C.H. Wu J.W. McLarty
This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of special system designs for building neural networks for genome informatics, and broad reviews and evaluations of current state-of-the-art methods in the field. This book concludes with a description of open research problems and future research directions.