Comparative Gene Finding: Models, Algorithms and Implementation (Computational Biology)
Marina Axelson-Fisk
- 出版商: Springer
- 出版日期: 2015-04-22
- 售價: $4,290
- 貴賓價: 9.5 折 $4,076
- 語言: 英文
- 頁數: 382
- 裝訂: Hardcover
- ISBN: 1447166922
- ISBN-13: 9781447166924
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相關分類:
Algorithms-data-structures
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商品描述
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.