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Titlebook: Genome Clustering; From Linguistic Mode Alexander Bolshoy,Zeev (Vladimir) Volkovich,Zeev B Book 2010 Springer-Verlag Berlin Heidelberg 2010

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书目名称Genome Clustering
副标题From Linguistic Mode
编辑Alexander Bolshoy,Zeev (Vladimir) Volkovich,Zeev B
视频video
概述Presents a general spectrum approach in bioinformatics.Written by experts in this field
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Genome Clustering; From Linguistic Mode Alexander Bolshoy,Zeev (Vladimir) Volkovich,Zeev B Book 2010 Springer-Verlag Berlin Heidelberg 2010
描述Knighting in sequence biology Edward N. Trifonov Genome classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast - versity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic terminology is the same, the phenotypic traits and habitats are not anymore the playground for the classi- cation. The sequence space is the playground now. The phenotypic traits are - placed by sequence characteristics, “words”, in particular. Matter-of-factually, the phenotype and genotype merged, to confusion of both classical and modern p- logeneticists. Accordingly, a completely new vocabulary of stringology, information theory and applied mathematics took over. And a new brand of scientists emerged – those who do know the math and, simultaneously, (do?) know biology. The book is written by the authors of this new brand. There is no way to test their literacy in biology, as no biologist by training would even try to enter into the elite circle of those who masters their almost occult language. But the army of - formaticians, formal lin
出版日期Book 2010
关键词Bioinformatics; Computational Intelligence; General Spectum Approach; classification; genetics; genome
版次1
doihttps://doi.org/10.1007/978-3-642-12952-0
isbn_softcover978-3-642-26340-8
isbn_ebook978-3-642-12952-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2010
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Biological Classification,is book, we will discuss a number of classification methods based on genome sequences. However, before we start describing these methods, it may be useful to illustrate a few classic approaches to classification by the example of microorganisms.
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Mathematical Models for the Analysis of Natural-Language Documents,vered afresh. The relevance of each model for language and molecular text analysis may be different. Nevertheless, in order to properly understand the ideas underlying the models, it is helpful to introduce, first, the models for the analysis of natural-language documents.
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Marker-Function Profile-Based Clustering, The coordinates of such vectors can be obtained from a certain formula using either the observed .-gram frequencies or the ratios of observed to expected frequencies. In what follows, we describe a different procedure - the conversion of a text . to a point in the .-dimensional Euclidean space for the purpose of further clustering.
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1860-949X me classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast - versity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic termi
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