Written on 10:36 PM by மு.இரா
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Written on 1:18 AM by மு.இரா
Jeffrey M. Becker (Editor), Guy A. Caldwell (Editor), Eve Ann Zachgo (Editor)
Editorial Reviews Review"This is an excellent laboratory guide for a laboratory course in basic techniques in molecular biology. It is also an excellent course text for instructors who want experiments to work and obtain joy from seeing their students being excited from success and gaining confidence in the laboratory."
--Kalidas Shetty in JOURNAL OF FOOD BIOCHEMISTRY
Review"This is an excellent laboratory guide for a laboratory course in basic techniques in molecular biology. It is also an excellent course text for instructors who want experiments to work and obtain joy from seeing their students being excited from success and gaining confidence in the laboratory."
--Kalidas Shetty in JOURNAL OF FOOD BIOCHEMISTRY
Inside This Book First Sentence:The utilization of microbes in biotechnology depends on pure cultures, which consist of only a single species, and the maintenance of the purity of the isolates through subsequent manipulations.
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Written on 1:06 AM by மு.இரா
Chapter 1 Using Biological Databases
Chapter 2 Recognizing Functional Domains
Chapter 3 Finding Similarities and Inferring Homologies
Chapter 4 Finding Genes
Chapter 5 Modeling Structure from Sequence
Chapter 6 Inferring Evolutionary Relationships
Chapter 7 Analyzing Expression Patterns
Chapter 8 Analyzing Molecular Interactions
Chapter 9 Building Biological Databases
Chapter 10 Comparing Large Sequence Sets
Chapter 11 Assembling Sequences
Chapter 12 Analyzing RNA Sequence and Structure
Chapter 13 Using Proteomics Techniques
Chapter 14 Cheminformatics
Appendix 1 User Fundamentals
Appendix 2 Glossary of Bioinformatics Terms
Appendix 3 Fundamentals of Bioinformatics
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Written on 12:48 AM by மு.இரா
Pavel A. Pevzner (Author)
Editorial Reviews Product DescriptionIn one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and to biotechnology. The book has a substantial "computational biology without formulas" component that presents the biological and computational ideas in a relatively simple manner. This makes the material accessible to computer scientists without biological training, as well as to biologists with limited background in computer science.
Computational Molecular Biology seriesComputer science and mathematics are transforming molecular biology from an informational to a computational science. Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology is dramatically increasing the discovery of new technologies and tools for molecular biology. The new MIT Press Computational Molecular Biology series provides a unique venue for the rapid publication of monographs, textbooks, edited collections, reference works, and lecture notes of the highest quality.
Book InfoA textbook covering a large range of algorithmic and combinatorical topics and showing how they are connected to molecular biology and biotechnology. This material is accessible to computer scientists without biological training and to biologists with a limited background in computer science. DLC: Molecular biology--Mathematical models.
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Written on 12:39 AM by மு.இரா
Editorial Reviews Product Description Choice Outstanding Academic Title, 2007.
These essays by leading scientists and philosophers address conceptual issues that arise in the theory and practice of evolutionary biology. The third edition of this widely used anthology has been substantially revised and updated. Four new sections have been added: on women in the evolutionary process, evolutionary psychology, laws in evolutionary theory, and race as social construction or biological reality. Other sections treat fitness, units of selection, adaptationism, reductionism, essentialism, species, phylogenetic inference, cultural evolution, and evolutionary ethics.
Each of the twelve sections contains two or three essays that develop different views of the subject at hand. For example, the section on evolutionary psychology offers one essay by two founders of the field and another that questions its main tenets. One sign that a discipline is growing is that there are open questions, with multiple answers still in competition; the essays in this volume demonstrate that evolutionary biology and the philosophy of evolutionary biology are living, growing disciplines.
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Written on 12:27 AM by மு.இரா
Maria Teresa Giardi (Author), Elena Piletska (Author)
Editorial ReviewsProduct DescriptionBiotechnological Applications of Photosynthetic Proteins: Biochips, Biosensors and Biodevices provides an overview of the recent photosystem II research and the systems available for the bioassay of pollutants using biosensors that are based on the photochemical activity. The data presented in this book serves as a basis for the development of a commercial biosensor for use in rapid pre-screening analyses of photosystem II pollutants, minimising costly and time-consuming laboratory analyses.
Inside This Book Key Phrases - Statistically Improbable Phrases (SIPs):
photosynthetic herbicides, large extrinsic loop, nongreen algae, herbicide detection, styrylpyridinium groups, photosynthesis inhibiting herbicides, binding niche, photosynthetic material, photosynthetic proteins, ndh genes, isolated reaction centers, extrinsic proteins, manganese cluster, plastid chromosome, oxidizing side, reaction center proteins, photochemical efficiency, photoautotrophic growth, primary charge separation, chloroplast genome, primary electron donor, photosynthetic oxygen evolution, artificial electron acceptor, stromal side, lumenal side
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Written on 12:12 AM by மு.இரா
by Richard C. Deonier (Author), Simon Tavaré (Author), Michael S. Waterman (Author)
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field.
This book features:
Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation
Presentation of fundamentals of probability, statistics, and algorithms
Implementation of computational methods with numerous examples based upon the R statistics package
Extensive descriptions and explanations to complement the analytical development
More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature
Exercises at the end of chapters
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Written on 11:56 PM by மு.இரா
Editorial Reviews
American Journal of Medical Genetics
A remarkable achievement...concise but informative...No geneticist or physician should be without a copy of this remarkable edition.
Product Description
Enlarged and revised edition of the German, Taschenatlas der Genetik, c1994. Pocket-sized atlas of the fundamentals of genetics, genetic disease processes, and genome organization. Includes a new section on genomics, new color plates, and more. Previous edition: c1995. Softcover. DNLM: Genetics, Medicine--Atlases.
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