Grid Computing for Bioinformatics and Computational Biology

by Talbi, El-Ghazali; Zomaya, Albert Y.

• ISBN13: 9780471784098
• ISBN10: 0471784095
• Edition: 1st
• Format: Hardcover
• Copyright: 2007-12-17
• Publisher: Wiley-Interscience

Summary

This overview of twentieth-century history in China tells the story of a fascinating country undergoing political revolutions and social and cultural upheaval.

Author Biography

El-Ghazali Talbi, PhD, is a Full Professor in the Computer Science Laboratory at the Université de Lille, Centre National de la Recherche Scientifique, and Institut National de Recherche en Informatique et en Automatique in France. Dr. Talbi has contributed to numerous publications in international journals and conferences and has organized many workshops and sessions discussing parallel and distributed computing for bioinformatics.

Albert Y. Zomaya, PhD, is the CISCO Systems Chair Professor of Internet-working in the School of Information Technologies at the University of Sydney. He also serves as Deputy Director for the Sydney University Biological Informatics and Technology Center and is the author or coauthor of several books and publications.

Table of Contents

Preface

Open computing Grid for molecular sciences

Designing high-performance concurrent strategies for biological sequence alignment problems on networked computing platforms

Optimized cluster-enabled HMMER searches

Expanding the rich of Grid computing: combining Globus and BOINC based systems

Hierarchical Grid computing for high performance bioinformatics

Multiple sequence alignment and phylogenetic inference

Data syndication techniques for bioinformatics applications

Conformational sampling and docking on Grids

Deployment of Grid life sciences applications

Grid-based interactive decision support in biomedicine

Database-driven grid computing and distributed web applications: a comparison

A semantic mediation architecture for a clinical Data Grid

Bioinformatics applications in Grid computing environments

Recent advances in solving the protein threading problem

DNA fragment assembly using Grid systems

Seeing is knowing: Visualization of parameter-parameter dependencies in biomedical network models

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