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An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a;
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- The data gathered can be used to solve a wide range of problems - for basic science and applied science;
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This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools;
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bioinformatics that was held in Tsinghua University. The courses include: Basics for Bioinformatics, Basic Statistics for Bioinformatics, Topics;
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applied bioinformatics. Now, anyone who can operate a PC, standard software and the internet can also learn to understand the biological basis;
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basic practical knowledge about various databases and tools of Bioinformatics have been covered. This provides a perfect practical exposure for;
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, biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the;
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applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.;
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are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree;
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are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree;
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, biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the;
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who want to learn either basic scripting or substantial programming for various computational tasks, and for programmers who want to learn;
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better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also;
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gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived;
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The book entitled Applied Computational Biology and Statistics in Biotechnology and Bioinformatics is aimed to cater to the growing;
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of the basic algorithms in bioinformatics to readers who have little exposure to computer science and mathematics. Second, it deals with;
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This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary;
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of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles;
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in three major sections, this detailed volume covers basic bioinformatics frameworks relating to comparative proteomics, bioinformatics databases;
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in the related disciplines such as bioinformatics, computational biology, biostatistics, genome science, computer science, applied data mining;
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related disciplines such as bioinformatics, computational biology, biostatistics, genome science, computer science, applied data mining, applied;
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understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily;
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dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and;
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Sustainable Agriculture: Advances in Plant Metabolome and Microbiome focuses on the advancement of basic and applied research related;
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teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied;
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teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied;
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