computational methods in molecular biology new comprehensive biochemistry

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Computational Methods In Molecular Biology

Author : S.L. Salzberg
ISBN : 0080860931
Genre : Computers
File Size : 36. 37 MB
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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.

New Comprehensive Biochemistry 32 Computational Methods In Molecular Biology

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ISBN : 0444803033
Genre :
File Size : 37. 99 MB
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New Comprehensive Biochemistry

Author : Albert Neuberger
ISBN : CHI:48062566
Genre : Science
File Size : 21. 53 MB
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Computational Methods In Molecular Biology

Author : Steven L. Salzberg
ISBN : 0444828753
Genre : Science
File Size : 44. 65 MB
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Hardbound. 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 s

Using The Biological Literature

Author : Diane Schmidt
ISBN : 0824741714
Genre : Language Arts & Disciplines
File Size : 36. 64 MB
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"Provides an in-depth review of current print and electronic tools for research in numerous disciplines of biology, including dictionaries and encyclopedias, method guides, handbooks, on-line directories, and periodicals. Directs readers to an associated Web page that maintains the URLs and annotations of all major Inernet resources discussed in this edition."

Information Processing And Biological Systems

Author : Samuli Niiranen
ISBN : 3642196217
Genre : Computers
File Size : 21. 61 MB
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Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.

Artificial Immune Systems

Author : Hugues Bersini
ISBN : 9783540377511
Genre : Computers
File Size : 45. 98 MB
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This book constitutes the refereed proceedings of the 5th International Conference on Artificial Immune Systems, ICARIS 2006. The book presents 34 revised full papers, are organized in topical sections on computer simulation of classical immunology, computer simulation of idiotypic network, immunoinformatics conceptual papers, pattern recognition type of application, optimization type of application, control and time-series type of application, danger theory inspired application, and text mining application.

Subject Guide To Books In Print

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ISBN : STANFORD:36105025888533
Genre : American literature
File Size : 74. 53 MB
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Modeling In Systems Biology

Author : Ina Koch
ISBN : 1849964742
Genre : Computers
File Size : 35. 42 MB
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The emerging, multi-disciplinary field of systems biology is devoted to the study of the relationships between various parts of a biological system, and computer modeling plays a vital role in the drive to understand the processes of life from an holistic viewpoint. Advancements in experimental technologies in biology and medicine have generated an enormous amount of biological data on the dependencies and interactions of many different molecular cell processes, fueling the development of numerous computational methods for exploring this data. The mathematical formalism of Petri net theory is able to encompass many of these techniques. This essential text/reference presents a comprehensive overview of cutting-edge research in applications of Petri nets in systems biology, with contributions from an international selection of experts. Those unfamiliar with the field are also provided with a general introduction to systems biology, the foundations of biochemistry, and the basics of Petri net theory. Further chapters address Petri net modeling techniques for building and analyzing biological models, as well as network prediction approaches, before reviewing the applications to networks of different biological classification. Topics and features: investigates the modular, qualitative modeling of regulatory networks using Petri nets, and examines an Hybrid Functional Petri net simulation case study; contains a glossary of the concepts and notation used in the book, in addition to exercises at the end of each chapter; covers the topological analysis of metabolic and regulatory networks, the analysis of models of signaling networks, and the prediction of network structure; provides a biological case study on the conversion of logical networks into Petri nets; discusses discrete modeling, stochastic modeling, fuzzy modeling, dynamic pathway modeling, genetic regulatory network modeling, and quantitative analysis techniques; includes a Foreword by Professor Jens Reich, Professor of Bioinformatics at Humboldt University and Max Delbrück Center for Molecular Medicine in Berlin. This unique guide to the modeling of biochemical systems using Petri net concepts will be of real utility to researchers and students of computational biology, systems biology, bioinformatics, computer science, and biochemistry.

Computational Methods In Genome Research

Author : Sándor Suhai
ISBN : 0306447126
Genre : Medical
File Size : 88. 60 MB
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Can computational science keep up with evolving technology for genome mapping and sequencing?; Informatics and experiments for the human genome project; Data management tools for scientific applications: framework, status, and genomic applications; The ACEDB genome database; The integrated genomic database (IGD); Genetic mapping, an overview; Representing genomic maps in a relational database; Livermore's pragmatic approach to integrated mapping for chromosome 19; Searching protein sequence databases - is optimal best?; Algorithmic advances for searching biosequence databases; Pattern recognition in genomic and protein sequences: a survey of statistical validation problems; New algorithms for the computational of evolutionary phylogenetic trees; Modelling protein structure from remote sequence similarity: an approach to tertiary structure prediction; Genetic algorithms in protein structure prediction; Applications of artificial neural networks in genome research; Statistical models of chromosome evolution; Deciphering the genetic message: some thoughts onf present limits.

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