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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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发表于 2025-3-21 17:51:50 | 显示全部楼层 |阅读模式
期刊全称Bioinformatics
期刊简称Problem Solving Para
影响因子2023Volker Sperschneider
视频video
发行地址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
图书封面Titlebook: Bioinformatics; Problem Solving Para Volker Sperschneider Textbook 2008 Springer-Verlag Berlin Heidelberg 2008 Algorithm Analysis.Algorithm
影响因子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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书目名称Bioinformatics被引频次学科排名




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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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