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Titlebook: Distributed and Sequential Algorithms for Bioinformatics; Kayhan Erciyes Textbook 2015 Springer International Publishing Switzerland 2015

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書(shū)目名稱Distributed and Sequential Algorithms for Bioinformatics
編輯Kayhan Erciyes
視頻videohttp://file.papertrans.cn/282/281973/281973.mp4
概述Provides a comprehensive survey of distributed algorithms for bioinformatics problems.Includes sequential and distributed algorithms for both DNA sequences and biological networks.Covers the key featu
叢書(shū)名稱Computational Biology
圖書(shū)封面Titlebook: Distributed and Sequential Algorithms for Bioinformatics; Kayhan Erciyes Textbook 2015 Springer International Publishing Switzerland 2015
描述.This unique textbook/reference presents unified coverage of bioinformatics topics relating to both biological sequences and biological networks, providing an in-depth analysis of cutting-edge distributed algorithms, as well as of relevant sequential algorithms. In addition to introducing the latest algorithms in this area, more than fifteen new distributed algorithms are also proposed. Topics and features: reviews a range of open challenges in biological sequences and networks; describes in detail both sequential and parallel/distributed algorithms for each problem; suggests approaches for distributed algorithms as possible extensions to sequential algorithms, when the distributed algorithms for the topic are scarce; proposes a number of new distributed algorithms in each chapter, to serve as potential starting points for further research; concludes each chapter with self-test exercises, a summary of the key points, a comparison of the algorithms described, and a literature review..
出版日期Textbook 2015
關(guān)鍵詞Bioinformatics Algorithms; Biological Networks; DNA Sequence Analysis; Distributed Algorithms; Parallel
版次1
doihttps://doi.org/10.1007/978-3-319-24966-7
isbn_softcover978-3-319-38748-2
isbn_ebook978-3-319-24966-7Series ISSN 1568-2684 Series E-ISSN 2662-2432
issn_series 1568-2684
copyrightSpringer International Publishing Switzerland 2015
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Parallel and Distributed Computinge rest of the book. Parallel computing involves concurrent execution of a number of tasks on a set of processors. Partitioning the job to be done to processes, distribution of these processes to processors and synchronization among tasks are the key issues to be addressed in a parallel computing sys
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Sequence Alignment sequence analysis tasks to quantify the similarities between the sequences. The goal of sequence alignment is to transform one sequence to another with minimum number of modifications. It can be performed in polynomial time between two sequences but heuristics are commonly used to compare multiple
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Clustering of Biological Sequencesbjects under consideration. Our aim in this chapter is to describe and analyze clustering algorithms for biological sequences. Classical algorithms may be used for this purpose; however, even the polynomial time algorithms may be time-consuming for DNA, and protein sequences which have very large si
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Genome AnalysisDetecting the location of genes in DNA is needed to analyze them efficiently. Gene finding algorithms for this purpose can be classified as statistical and comparison-based methods. The first scheme searches statistically more frequently appearing sequences such as the start and terminating codons,
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