Russell Schwartz

Ion Mandoiu

Jianxin Wang

Leonidas Bleris

This book constitutes the refereed proceedings of the International Symposium on Bioinformatics Research and Applications, ISBRA 2012, held in Dallas, Texas, USA, in May 2012. The 26 revised full papers presented together with five invited talks were carefully reviewed and selected from 66 submissions. The papers address issues on various aspects of bioinformatics and computational biology and their applications.

8th International Symposium, ISBRA 2012, Dallas, TX, USA, May 21-23, 2012. Proceedings

Bioinformatics Research and Applications

Alexander Zelikovsky

Jianer Chen

This volume constitutes the refereed proceedings of the 7th International Symposium on Bioinformatics Research and Applications, ISBRA 2011, held in Changsha, China, in May 2011. The 36 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 92 submissions. Topics presented span all areas of bioinformatics and computational biology, including the development of experimental or commercial systems.

7th International Symposium, ISBRA 2011, Changsha, China, May 27-29, 2011, Proceedings

Bioinformatics Research and Application

Yi Pan

Min Li

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Jianxin Wang

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