375,50 zł

Parallel Computing for Bioinformatics & Computational Biolog John Wiley & Sons

Inne 1

Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: Algorithms and models Sequence analysis and microarrays Phylogenetics Protein folding Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.

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103,00 zł

Transforming Enterprise MIT Press Massachusets Institute of Tech nology

Inne 1

Innovators across all sectors of society are using information and communication technology to reshape economic and social activity. Even after the boom -- and despite the bust -- the process of structural change continues across organizational boundaries. Transforming Enterprise considers the implications of this change from a balanced, post-bust perspective. Original essays examine the impact on the economy as a whole, and, in particular, the effect on productivity; the role of information technology in creating and using knowledge -- especially knowledge that leads to innovation; and new organizational models, as seen in the interlocking and overlapping networks made possible by the Internet. The authors also analyze structural changes in specific sectors, including the effect of information technology on the automotive industry, demand-driven production and flexible value chains in the personal computer industry, and new models of outsourced manufacturing in the electronics industry. The final essays examine the societal implications of the diverse ways that information technologies are used -- across individuals, groups, communities, and nations -- and considering questions of access and the digital divide. William H. Dutton is Professor of Internet Studies and Director of the Oxford Internet Institute, University of Oxford. Brian Kahin is Visiting Professor at the University of Michigan. He is a coeditor of Transforming Enterprise (MIT Press, 2004) and many other books. Ramon O'Callaghan is Professor of Information Systems and Management at the School of Economics and Business Administration, Tilburg University, the Netherlands. Andrew W. Wyckoff is Head of the Economic Analysis and Statistics Division, Directorate for Science, Technology, and Industry, Organisation for Economic Co-operation and Development, Paris.

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