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Titlebook: Bioinformatics; An Introduction Jeremy Ramsden Textbook 20092nd edition Springer-Verlag London 2009 algorithms.bioinformatics.biology.compl

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发表于 2025-3-21 18:44:09 | 显示全部楼层 |阅读模式
期刊全称Bioinformatics
期刊简称An Introduction
影响因子2023Jeremy Ramsden
视频video
发行地址Provides a comprehensive, self-contained introduction to the field of bioinformatics and state-of-the-art research.Second edition offers three additional chapters plus many expanded sections.Brings to
学科分类Computational Biology
图书封面Titlebook: Bioinformatics; An Introduction Jeremy Ramsden Textbook 20092nd edition Springer-Verlag London 2009 algorithms.bioinformatics.biology.compl
影响因子.Bioinformatics is interpreted as the application of information science to biology, in which it plays a fundamental and all-pervasive role. The field continues to develop intensively in both academia and commercially, and is highly interdisciplinary. This broad-ranging and thoroughly updated second edition covers new findings while retaining the successful formula of the original text...Bioinformatics: An Introduction .(2nd Edition). is structured into three parts devoted to Information, Biology, and Applications. Every section of the book has been completely revised for currency, and expanded where relevant, to take account of significant new discoveries and realizations of the importance of key concepts. Furthermore, two new chapters provide instruction about algorithms and knowledge representation. Emphases are placed on the underlying fundamentals and on acquisition of a broad and comprehensive grasp of the field as a whole....Features:..• Provides a solid foundation in, and self-contained introduction to, the field of bioinformatics and its state-of-the-art as it relates to computational biology research..• Offers additional chapters on algorithms and knowledge representation
Pindex Textbook 20092nd edition
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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




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书目名称Bioinformatics读者反馈学科排名




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Sets and Combinatoricsre . and . are eachsets), intersection (.), and complement (.) correspond to everyday usage. Thus, if . and ., ., ., and . if our world is the English alphabet. . can be thought of as operations that map one set onto another.
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Probability and likelihoodmally, however (i.e., in the sense used throughout this book), probabilities do not refer to judgments, but to .. These outcomes constitute the “sample space.” For example, attributing a probability of 0.6 to an event means that the event is expected to occur 60 times out of 100. This is the “freque
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Randomness and complexitya recipient merely by tossing a coin. Randomness is therefore a kind of “null hypothesis”; a random sequence of symbols is a sequence lacking all contraints limiting the variety of choice of successive symbols selected from a pool with constant composition (i.e., an ergodic source). Such a sequence
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Systems, Networks, and Circuitsex objects composed of many individual molecules (the molecule is probably the most appropriate level of coarse graining for the systems we are dealing with). Since these components are connected together, they constitute a system. The essence of a system is that it cannot be usefully decomposed int
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Algorithmschines such as digital computers. An algorithm is defined as a process of solving problems based on the repeated carrying out a strictly defined procedure. A classical example is the Euclidean algorithm for finding the greatest common divisor of two natural numbers . and ..
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Genomicsgenomics is to determine the function of each gene in the genome (i.e., to annotate the sequence). This is sometimes called functional genomics.Figure 13.1 gives an outline of the topic. The starting point is the gene; we will not deal with gene mapping, since it is already well covered in genetics
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The Nature of Informationhence information. We will return to this example later. Another definition is “fact(s) learned about something,” implying that there is a definable object to which the facts are related, suggesting the need for context and meaning.
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