The aim of the Conference and its proceedings is to provide a forum in which experts from both the academic and the industrial sectors as well as other interested individuals (young researchers and students) can gain a first hand knowledge of the scope, direction and future prospects in the international initiation of human genome research and its supporting technologies of electrophoresis and computing.
Since the beginning of the genome project, the necessary involvement of scientists of widely divergent backgrounds has been evident. The proper handling, analysis, dissemination of information, and the control and data gathering of automated process are areas where computers are directly involved. Thus computers are intimately tied into the production and analysis of biological data. However, many challenges lie ahead.This volume is a collection of selected oral and poster presentations given at The Second International Conference on Bioinformatics, Supercomputing and Complex Genome Analysis, organized to address some of these challenges. The topics include the current status and future prospects of genome map, mapping and sequencing, complex genome analysis,linguistic and neural network approaches, database issues, and computer tools in the genome project. The volume will be ideal for students, newcomers, young researchers and experts alike, who are computationally or experimentally oriented.Keynote Speakers: C L Smith, D Grothues, T Ito, T Sano, D Wang, Y-W Zhu, C R Canton & R J Rohins.
Computer access is the only way to retrieve up-to-date sequences and this book shows researchers puzzled by the maze of URLs, sites, and searches how to use internet technology to find and analyze genetic data. The book describes the different types of databases, how to use a specific database to find a sequence that you need, and how to analyze the data to compare it with your own work. The content also covers sequence phenotype, mutation, and genetic linkage databases; simple repetitive DNA sequences; gene feature identification; and prediction of structure and function of proteins from sequence information. This book will be invaluable to those starting a career in life sciences research as well as to established researchers wishing to make full use of available resources. - Describes a wide range of databases: DNA, RNA, protein, pathways, and gene expression - Enables readers to access the information they need from databases on the web - Includes a directory of URLs for easy reference - Invaluable for those starting a career in life sciences research and also for established researchers wishing to make full use of available resources
Presents step-by-step protocols for users of Pulsed-Field Gel Electrophoresis (PFGE), whether novice or expert. This book features a wide range of PFGE techniques, auxiliary methods, and a diverse array of powerful applications. It includes protocols designed to work even the first time they are used.
In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.
A survey of current topics in computational molecular biology. Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine. This survey of computational molecular biology covers traditional topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying biological problems. The book also contains an introductory chapter, as well as one on general statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained review of a specific subject. Not for sale in China, including Hong Kong.
Concise Encyclopaedia of Bioinformatics and Computational Biology, 2nd Edition is a fully revised and updated version of this acclaimed resource. The book provides definitions and often explanations of over 1000 words, phrases and concepts relating to this fast-moving and exciting field, offering a convenient, one-stop summary of the core knowledge in the area. This second edition is an invaluable resource for students, researchers and academics.
Computational chemistry is increasingly used in most areas of molecular science including organic, inorganic, medicinal, biological, physical, and analytical chemistry. Researchers in these fields who do molecular modelling need to understand and stay current with recent developments. This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Two chapters focus on molecular docking, one of which relates to drug discovery and cheminformatics and the other to proteomics. In addition, this volume contains tutorials on spin-orbit coupling and cellular automata modeling, as well as an extensive bibliography of computational chemistry books. FROM REVIEWS OF THE SERIES "Reviews in Computational Chemistry remains the most valuable reference to methods and techniques in computational chemistry."—JOURNAL OF MOLECULAR GRAPHICS AND MODELLING "One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)."—JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
Written by a pioneer and authority, this invaluable book covers all the key aspects and current affairs in the field of biotechnology, with topics ranging from genome projects, through animal and human cloning, to biowarfare.As an academic-turned-entrepreneur, the author is at ease in providing vivid firsthand accounts from both the scientific and the business perspective.This book is addressed primarily to experts and professionals who are very busy but who wish to gain insights through a different and comprehensive perspective of this important field. It is also aimed at laypeople who are interested in learning more about bioinformatics, and the biotechnology, pharmaceutical, and healthcare industries.The book is also ideal as an easy-to-read supplementary reference in classrooms. Each chapter is self-contained and footnotes provide further references for interested readers.
