Bioinformatics: From Nucleic Acids and Proteins to Cell Metabolism
Автор: Dietmar Schomburg
Год издания: 0000
Bioinformatics, in this context the application of computer science to biological problems, has become an indispensable part of any research in the biosciences. Rapid developments in gene sequencing, structure determination as well as rational protein engineering and design have made it necessary for biologists, chemists, and computer scientists to channel their expertise into large scale collaborative projects. This GBF Monograph gives a general overview of the latest versatile activities in bioinformatics: * Biological Data Bases * DNA and RNA * Protein Sequences and Structures * From Molecules to Cell Metabolism The articles have been selected from contributions to a conference on Bioinformatics/Computer Application in the Biosciences, held in October 1995 in Braunschweig at the German National Research Center for Biotechnology.
Digital Code of Life. How Bioinformatics is Revolutionizing Science, Medicine, and Business
Автор: Glyn Moody
Год издания:
A behind-the-scenes look at the most lucrative discipline within biotechnology Bioinformatics represents a new area of opportunity for investors and industry participants. Companies are spending billions on the potentially lucrative products that will come from bioinformatics. This book looks at what companies like Merck, Glaxo SmithKline Beecham, and Celera, and hospitals are doing to maneuver themselves to leadership positions in this area. Filled with in-depth insights and surprising revelations, Digital Code of Life examines the personalities who have brought bioinformatics to life and explores the commercial applications and investment opportunities of the most lucrative discipline within genomics. Glyn Moody (London, UK) has published numerous articles in Wired magazine. He is the author of the critically acclaimed book Rebel Code.
Bioinformatics For Dummies
Автор: Jean-Michel Claverie
Год издания:
Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop! Bioinformatics For Dummies is packed with valuable information that introduces you to this exciting new discipline. This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You’ll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to: Analyze all types of sequences Use all types of databases Work with DNA and protein sequences Conduct similarity searches Build a multiple sequence alignment Edit and publish alignments Visualize protein 3-D structures Construct phylogenetic trees This up-to-date second edition includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what’s going on in the bioinformatics world. Bioinformatics For Dummies will show you how to get the most out of your PC and the right Web tools so you’ll be searching databases and analyzing sequences like a pro!
Drug Metabolism Handbook. Concepts and Applications
Автор: Ala Nassar F.
Год издания:
A valuable reference tool for professionals involved in the industry, Drug Metabolism in Pharmaceuticals covers new tools such as LC-MS and LC-MS-NMR along with experimental aspects of drug metabolism. This work fills a gap in the literature by covering the concepts and applications of pharmaceutical research, development, and assessment from the point of view of drug metabolism. By providing both a solid conceptual understanding of the drug metabolism system, and a well illustrated, detailed demonstration and explanation of cutting edge tools and techniques, this book serves as a valuable reference tool for bench scientists, medical students, and students of general health sciences.
Statistical Bioinformatics. For Biomedical and Life Science Researchers
Автор: Jae Lee K.
Год издания:
This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.
Proteins. Biochemistry and Biotechnology
Автор: Gary Walsh
Год издания:
Proteins Biochemistry and Biotechnology 2e is a definitive source of information for all those interested in protein science, and particularly the commercial production and isolation of specific proteins, and their subsequent utilization for applied purposes in industry and medicine. Fully updated throughout with new or fundamentally revised sections on proteomics as, bioinformatics, protein glycosylation and engineering, well as sections detailing advances in upstream processing and newer protein applications such as enzyme-based biofuel production this new edition has an increased focus on biochemistry to ensure the balance between biochemisty and biotechnology, enhanced with numerous case studies. This second edition is an invaluable text for undergraduates of biochemistry and biotechnology but will also be relevant to students of microbiology, molecular biology, bioinformatics and any branch of the biomedical sciences who require a broad overview of the various medical, diagnostic and industrial uses of proteins. • Provides a comprehensive overview of all aspects of protein biochemisty and protein biotechnology • Includes numerous case studies • Increased focus on protein biochemistry to ensure balance between biochemisty and biotechnology • Includes new section focusing on proteomics as well as sections detailing protein function and enzyme-based biofuel production "With the potential of a standard reference source on the topic, any molecular biotechnologist will profit greatly from having this excellent book. « (Engineering in Life Sciences, 2004; Vol 5; No. 5) “Few texts would be considered competitors, and none compare favorably.» (Biochemistry and Molecular Education, July/August 2002) «…The book is well written, making it informative and easy to read…» (The Biochemist, June 2002)