parallel computing bioinformatics computational (9 Ergebnisse)

Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Hardcover. Zustand: Very Good. Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies: 55 (Wiley Series on Parallel and Distributed Computing) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Hardcover. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 816 Illus.

Gebunden. Zustand: New. .clearly written and understandable.researchers and students in the related areas will find the style and format familiar and the content valuable. (E-STREAMS, September 2007) .a building block on computational biology concepts to help researchers a.

Hardcover. Zustand: Brand New. 782 pages. 9.50x6.50x1.75 inches. In Stock.

Buch. Zustand: Neu. Neuware - Discover how to streamline complex bioinformatics applications with parallel computingThis 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 technologiesResearchers, 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.