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Titlebook: Comparative Gene Finding; Models, Algorithms a Marina Axelson-Fisk Book 20101st edition Springer-Verlag London 2010 Bioinformatics.Biologic

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發(fā)表于 2025-3-21 18:51:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Comparative Gene Finding
副標題Models, Algorithms a
編輯Marina Axelson-Fisk
視頻videohttp://file.papertrans.cn/231/230892/230892.mp4
概述This practical guide provides detailed descriptions of the models and algorithms and how to implement them in an easy-to-follow style.The book summarizes the advances in the field and gives clear and
叢書名稱Computational Biology
圖書封面Titlebook: Comparative Gene Finding; Models, Algorithms a Marina Axelson-Fisk Book 20101st edition Springer-Verlag London 2010 Bioinformatics.Biologic
描述Comparative genomics is a new and emerging ?eld, and with the explosion of ava- able biological sequences the requests for faster, more ef?cient and more robust algorithms to analyze all this data are immense. This book is meant to serve as a self-contained instruction of the state-of-the-art of computational gene ?nding in general and of comparative approaches in particular. It is meant as an overview of the various methods that have been applied in the ?eld, and a quick introduction into how computational gene ?nders are built in general. A beginner to the ?eld could use this book as a guide through to the main points to think about when constructing a gene ?nder, and the main algorithms that are in use. On the other hand, the more experienced gene ?nder should be able to use this book as a reference to different methods and to the main components incorporated in these methods. I have focused on the main uses of the covered methods and avoided much of the technical details and general extensions of the models. In exchange I have tried to supply references to more detailed accounts of the different research areas touched upon. The book, however, makes no claim on being comprehensi
出版日期Book 20101st edition
關鍵詞Bioinformatics; Biological Sequence Analysis; Comparative Genomics; Computational Biology; Computational
版次1
doihttps://doi.org/10.1007/978-1-84996-104-2
isbn_softcover978-1-4471-2539-6
isbn_ebook978-1-84996-104-2Series ISSN 1568-2684 Series E-ISSN 2662-2432
issn_series 1568-2684
copyrightSpringer-Verlag London 2010
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沙發(fā)
發(fā)表于 2025-3-21 20:39:39 | 只看該作者
https://doi.org/10.1007/978-1-84996-104-2Bioinformatics; Biological Sequence Analysis; Comparative Genomics; Computational Biology; Computational
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發(fā)表于 2025-3-22 02:41:12 | 只看該作者
978-1-4471-2539-6Springer-Verlag London 2010
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發(fā)表于 2025-3-22 05:18:53 | 只看該作者
Marina Axelson-FiskThis practical guide provides detailed descriptions of the models and algorithms and how to implement them in an easy-to-follow style.The book summarizes the advances in the field and gives clear and
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發(fā)表于 2025-3-22 09:35:02 | 只看該作者
Computational Biologyhttp://image.papertrans.cn/c/image/230892.jpg
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Signal Processing and Information Technologys represent various features of a gene, such as exons, introns, and splice site models. Each submodel scores the probability, or likelihood, that each given sequence region constitute the corresponding gene feature, and then these scores are passed on up to the main algorithm. The main algorithm int
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發(fā)表于 2025-3-22 21:57:46 | 只看該作者
Signal Processing and Information Technologyd into two parts. In the first part we describe the basic concepts of pairwise alignments, including substitution schemes and gap models, and move on to the application of dynamic programming to global and local alignments. We finish off by giving an overview of heuristic database searches and the s
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發(fā)表于 2025-3-23 04:12:27 | 只看該作者
https://doi.org/10.1007/978-3-319-45372-9 of advantages over its single species predecessors, including higher prediction accuracy, and the ability to annotate more varying gene features that previously have eluded computational approaches. In Chap.?2 we described some of the most common algorithms used as main algorithms in single species
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