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Titlebook: Bioinformatics; An Introductory Text Thomas Dandekar,Meik Kunz Book 20231st edition Springer-Verlag GmbH Germany, part of Springer Nature 2

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发表于 2025-3-21 20:01:50 | 显示全部楼层 |阅读模式
期刊全称Bioinformatics
期刊简称An Introductory Text
影响因子2023Thomas Dandekar,Meik Kunz
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发行地址Motivates students to engage with the exciting, fast growing field of bioinformatics.Provides a simple, compact, and practical presentation of bioinformatics.Helps to understand fundamental questions
图书封面Titlebook: Bioinformatics; An Introductory Text Thomas Dandekar,Meik Kunz Book 20231st edition Springer-Verlag GmbH Germany, part of Springer Nature 2
影响因子.This book offers a gripping introduction to the fastest growing field of biology with easy-to-follow examples and a well-prepared appendix for the reader to cook up and experience everything right away..The book gets the reader started with the basics, such as how to easily find sequence information and then analyze it. In further chapters, the authors go into the various analysis options from RNA, DNA and proteins to entire metabolic pathways. Exciting examples from biology are chosen in each chapter to illustrate the analysis. Each chapter concludes with an exercise section that immediately puts what has been learned to use..The subject of this book is a must for any biology student, whether undergraduate or graduate, as bioinformatics is now unearthing amazing insights into the molecular basis of all living things. Computer science students and other students from related sciences will get a good introduction to bioinformatics, as biology and current topics (e.g. AI)are systematically introduced step by step alongside the software..Discover the key to life together with the authors and learn to understand the language of life.. This book is a translation of the original German
Pindex Book 20231st edition
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书目名称Bioinformatics影响因子(影响力)




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书目名称Bioinformatics网络公开度学科排名




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书目名称Bioinformatics被引频次学科排名




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书目名称Bioinformatics年度引用学科排名




书目名称Bioinformatics读者反馈




书目名称Bioinformatics读者反馈学科排名




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Kaspers/Küfner Messen — Steuern — Regelnlved. It is then possible to calculate which metabolic pathways and enzyme chains keep the metabolites in a network in equilibrium (flux balance analysis), which of these are also no longer decomposable (elementary mode analysis) and which of these are sufficient to represent all real metabolic situ
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Kaspers/Küfner Messen - Steuern - Regelnelps to understand the causes of diseases, to better describe infection processes and immune responses, or to elucidate complex processes in biology such as cell differentiation and neurobiology. Stronger mathematical models describe signalling networks precisely in terms of changes over time and th
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Kaspers/Küfner Messen - Steuern - Regeln by fast, but not entirely accurate, searches. Almost all of the fast bioinformatics programs on the net use such heuristics. In BLAST, for example, two short but perfect match alignments are first pretested in a database entry before an exact alignment with the database entry is performed, thus sav
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https://doi.org/10.1007/978-3-658-15694-7sitive activation loops (feedforward loops) activate the system when it is too weak (e.g. heartbeat). Bioinformatics is able to selectively tap central key elements (e.g. central signalling cascades; highly linked proteins in the centre, so-called “hubs”; sequence and system structure analyses, e.g.
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https://doi.org/10.1007/978-3-322-96328-4c genome. New populations with ever new typical characteristics (through mutation and, in the case of sexual reproduction, through recombination) are always created, which allow an almost optimal adaptation to the prevailing environment, less environmentally related characteristics are less often pa
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