Grid Computing for Bioinformatics and Computational Biology / Edition 1 available in Hardcover
- Pub. Date:
The only single, up-to-date source for Grid issues inbioinformatics and biologyBioinformatics is fast emerging as an important discipline foracademic research and industrial applications, creating a need forthe use of Grid computing techniques for large-scale distributedapplications. This book successfully presents Grid algorithms andtheir real-world applications, provides details on modern andongoing research, and explores software frameworks that integratebioinformatics and computational biology.Additional coverage includes:*Bio-ontology and data mining*Data visualization*DNA assembly, clustering, and mapping*Molecular evolution and phylogeny*Gene expression and micro-arrays*Molecular modeling and simulation*Sequence search and alignment*Protein structure prediction*Grid infrastructure, middleware, and tools for bio dataGrid Computing for Bioinformatics and Computational Biology is anindispensable resource for professionals in several research anddevelopment communities including bioinformatics, computationalbiology, Grid computing, data mining, and more. It also serves asan ideal textbook for undergraduate- and graduate-level courses inbioinformatics and Grid computing.
About the Author
El-Ghazali Talbi, PhD, is a Full Professor in the ComputerScience Laboratory at the Université de Lille, Centre Nationalde la Recherche Scientifique, and Institut National de Recherche enInformatique et en Automatique in France. Dr. Talbi has contributedto numerous publications in international journals and conferencesand has organized many workshops and sessions discussing paralleland distributed computing for bioinformatics.
Albert Y. Zomaya, PhD, is the CISCO Systems Chair Professor ofInternet-working in the School of Information Technologies at theUniversity of Sydney. He also serves as Deputy Director for theSydney University Biological Informatics and Technology Center andis the author or coauthor of several books and publications.
Table of Contents
Preface.Chapter 1: Open computing Grid for molecular sciences (M. Romberg, E. Benfenati, and W. Dubitzky).Chapter 2: Designing high-performance concurrent strategies for biological sequence alignment problems on networked computing platforms (B. Veeravalli).Chapter 3: Optimized cluster-enabled HMMER searches (J. P. Walters, J. Landman, and V. Chaudhary).Chapter 4: Expanding the rich of Grid computing: combining Globus and BOINC based systems (D. S. Myers, A. L. Bazinet, and M. P. Cummings).Chapter 5: Hierarchical Grid computing for high performance bioinformatics (B. Schmidt, C.X. Chen and W. Liu).Chapter 6:Multiple sequence alignment and phylogenetic inference (D. Trystram, and J. Zola).Chapter 7: Data syndication techniques for bioinformatics applications (C. Wang, A. Y. Zomaya, and B. B. Zhou).Chapter 8: Conformational sampling and docking on Grids (A. Tantar, N. Melab, and E-G. Talbi).Chapter 9: Deployment of Grid life sciences applications (V. Breton, N. Jacq, V. Kasam, and J. Salzemann).Chapter 10: Grid-based interactive decision support in biomedicine (A. Tirado-Ramos, P. M. A. Sloot, and M. Bubak).Chapter 11: Database-driven grid computing and distributed web applications: a comparison (H. De Sterck, A.Papo, C. Zhang, M. Hamady, and R. Knight).Chapter 12: A semantic mediation architecture for a clinical Data Grid (K. Kumpf, A. Wohrer, S. Benkner, G. Engelbrecht, and Jochen Fingberg).Chapter 13: Bioinformatics applications in Grid computing environments (A. Boukerche, A. C. Magalhaes and Alves De Melo).Chapter 14: Recent advances in solving the protein threading problem (R. Andonov, G. Collet, J-F. Gibrat, A. Marin, V. Poirriez, and N. Yanev).Chapter 15: DNA fragment assembly using Grid systems (A. J. Nebro, G. Luque, and E. Alba).Chapter 16: Seeing is knowing: Visualization of parameter-parameter dependencies in biomedical network models (A. Konagaya, R. Azuma, R. Umetsu, S. Ohki, F. Konishi, K. Matsumura, and S. Yoshikawa).