| 书目名称 | Comparative Gene Finding | | 副标题 | Models, Algorithms a | | 编辑 | Marina Axelson-Fisk | | 视频video | | | 概述 | Provides detailed descriptions of the models and algorithms and how to implement them.Summarizes the advances in the field and gives clear and concise instructions on how to proceed though the project | | 丛书名称 | Computational Biology | | 图书封面 |  | | 描述 | This book presents a guide to building computational gene finders, and describes the state of the art in computational gene finding methods, with a focus on comparative approaches. Fully updated and expanded, this new edition examines next-generation sequencing (NGS) technology. The book also discusses conditional random fields, enhancing the broad coverage of topics spanning probability theory, statistics, information theory, optimization theory and numerical analysis. Features: introduces the fundamental terms and concepts in the field; discusses algorithms for single-species gene finding, and approaches to pairwise and multiple sequence alignments, then describes how the strengths in both areas can be combined to improve the accuracy of gene finding; explores the gene features most commonly captured by a computational gene model, and explains the basics of parameter training; illustrates how to implement a comparative gene finder; examines NGS techniques and how to build a genome annotation pipeline. | | 出版日期 | Book 2015Latest edition | | 关键词 | Algorithms; Bioinformatics; Biological Sequence Analysis; Comparative Genomics; Computational Biology; Co | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4471-6693-1 | | isbn_softcover | 978-1-4471-6875-1 | | isbn_ebook | 978-1-4471-6693-1Series ISSN 1568-2684 Series E-ISSN 2662-2432 | | issn_series | 1568-2684 | | copyright | Springer-Verlag London 2015 |
The information of publication is updating
|
|
发表于 2025-3-21 16:11:40
