Grid Computing for Bioinformatics and Computational Biology (Hardcover)

Description 

Serving as a single up-to-date reference source, Grid Computing for Bioinformatics and Computational Biology provides details on modern and ongoing research on Grid applications. The book specifically discusses bio-ontology and data mining; data visualization; DNA assembly, clustering, and mapping; molecular evolution and phylogeny; gene expression and micro-arrays; gene identification and annotation; molecular modeling and simulation; molecular sequence analysis; protein structure prediction; sequence assembly; sequence search and alignment; bio data intensive applications; Grid infrastructures; middleware; and tools for bio data.

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).