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Books in Computational biology

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11-17 of 17 results in All results

Handbook of Systems Biology

  • 1st Edition
  • November 20, 2012
  • Marian Walhout + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 8 5 9 4 4 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 5 9 4 5 - 7
This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as the importance of systems biology in human biological research. Technology, being an extremely important aspect of scientific progress overall, and in the creation of new fields in particular, is discussed in 'boxes' within each chapter to relate to appropriate topics.

Modern Computational Approaches to Traditional Chinese Medicine

  • 1st Edition
  • July 13, 2012
  • Zhaohui Wu + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 2 8 2 7 2 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 8 5 1 9 - 4
Recognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM’s independently evolved knowledge system is expressed mainly in the Chinese language and the information is frequently only available through ancient classics and confidential family records, making it difficult to utilize. The major concern in TCM is how to consolidate and integrate the data, enabling efficient retrieval and discovery of novel knowledge from the dispersed data. Computational approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and utilization of this knowledge system. Typically, this requires an inter-disciplinary approach involving Chinese culture, computer science, modern healthcare and life sciences. This book examines the computerization of TCM information and knowledge to provide intelligent resources and supporting evidences for clinical decision-making, drug discovery, and education. Recent research results from the Traditional Chinese Medicine Informatics Group of Zhejiang University are presented, gathering in one resource systematic approaches for massive data processing in TCM. These include the utilization of modern Semantic Web and data mining methods for more advanced data integration, data analysis and integrative knowledge discovery. This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine.

Computer Methods, Part C

  • 1st Edition
  • Volume 487
  • December 24, 2010
  • Melvin I. Simon
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 8 1 2 7 0 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 1 2 7 1 - 1
The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with the 2 previous Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to biomedical research.

Computer Methods Part B

  • 1st Edition
  • Volume 467
  • November 5, 2009
  • Michael L. Johnson + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 7 5 0 2 3 - 5
  • eBook
    9 7 8 - 0 - 0 8 - 0 9 6 2 8 0 - 1
The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with previous and forthcoming Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to biomedical research.

Probabilistic Methods for Bioinformatics

  • 1st Edition
  • April 3, 2009
  • Richard E. Neapolitan
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 7 0 4 7 6 - 4
  • eBook
    9 7 8 - 0 - 0 8 - 0 9 1 9 3 6 - 2
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis.

In Silico

  • 1st Edition
  • July 1, 2008
  • Jason Sharpe + 2 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 8 7 9 2 5 - 3
In Silico introduces Maya programming into one of the most fascinating application areas of 3D graphics: biological visualization. In five building-block tutorials, this book prepares animators to work with visualization problems in cell biology. The book assumes no deep knowledge of cell biology or 3D graphics programming. An accompanying DVD-ROM includes code derived from the tutorials, the working Maya computer files, and sample animated movies.

Computational Methods in Molecular Biology

  • 1st Edition
  • Volume 32
  • June 19, 1998
  • S.L. Salzberg + 2 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 8 6 0 9 3 - 0
Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities.This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms.The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book.A secondary audience will be computer scientists developing techniques with applications in biology.An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.