Grid Computing for Bioinformatics and Computational Biology (Hardcover)
內容描述
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).
