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Titlebook: Bioinformatics; Problem Solving Para Volker Sperschneider Textbook 2008 Springer-Verlag Berlin Heidelberg 2008 Algorithm Analysis.Algorithm

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發(fā)表于 2025-3-21 17:51:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bioinformatics
期刊簡(jiǎn)稱Problem Solving Para
影響因子2023Volker Sperschneider
視頻videohttp://file.papertrans.cn/188/187149/187149.mp4
發(fā)行地址Algorithmic pearls of bioinformatics.Strong emphasis on general methods for constructing and explaining complex algorithms.With numerous illustrations and exercises with fully worked out solutions.Inc
圖書封面Titlebook: Bioinformatics; Problem Solving Para Volker Sperschneider Textbook 2008 Springer-Verlag Berlin Heidelberg 2008 Algorithm Analysis.Algorithm
影響因子What is this book good for? Imagine you are a computer scientist working in the bioinformatics area. P- bably you will be a member of a highly interdisciplinary team consisting of biologists, chemists, mathematicians, computer scientists ranging from p- grammers to algorithm engineers, and eventually people from various further ?elds. A major problem within such interdisciplinary teams is always to ?nd some common language, and, for each member of some discipline, to have profound knowledge of what are the notions, basic concepts and goals of the other participating disciplines, as well as of what they can contribute to the solutionofonesownproblems. Thisdoes,ofcourse,notmeanthatacomputer scientist should do the job of the biologist. Nevertheless, a computer scientist should be able to understand what a biologist deals with. On the other hand, the biologist should not do the computer scientists job, but should know what computer science and algorithm engineering might contribute to thesolution of her/his problems, and also how problems should be stated in order for the computer scientist to understand them. This book primarily aims to show the potential that algorithm engin- ring o
Pindex Textbook 2008
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書目名稱Bioinformatics影響因子(影響力)




書目名稱Bioinformatics影響因子(影響力)學(xué)科排名




書目名稱Bioinformatics網(wǎng)絡(luò)公開(kāi)度




書目名稱Bioinformatics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Bioinformatics被引頻次




書目名稱Bioinformatics被引頻次學(xué)科排名




書目名稱Bioinformatics年度引用




書目名稱Bioinformatics年度引用學(xué)科排名




書目名稱Bioinformatics讀者反饋




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https://doi.org/10.1007/978-3-642-72929-4 The reader interested in getting a deeper understanding of one of these methods may then consult one of the recommended textbooks. Each of these attempts is briefly presented only as far as it is required for the understanding of the treated applications.
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Core Bioinformatics Problems,is of macromolecules further enhances our understanding of what is going on in cells on a molecular level. Progress in computer science makes it possible to deal with this giant flood of data in an efficient manner, with bioinformatics problems often triggering the development of new methods and algorithms.
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Dynamic Programming, a rather simple and cheap manner. To particularly solve an optimization problem in a recursive manner depends on the validity of the so-called . (see ,??, reprint ,??): assembly of an optimal solution . of . requires optimal solutions .,…,. of instances .,…,..
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ustrations and exercises with fully worked out solutions.IncWhat is this book good for? Imagine you are a computer scientist working in the bioinformatics area. P- bably you will be a member of a highly interdisciplinary team consisting of biologists, chemists, mathematicians, computer scientists ra
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