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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Biology, life sciences Life sciences: general issues

• Plný název: Comparative Gene Finding
• Podnázev: Models, Algorithms and Implementation
• Autor: Marina Axelson-Fisk
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 382
• EAN: 9781447166924
• ISBN: 1447166922
• ID: 09219385
• Nakladatelství: Springer London Ltd
• Hmotnost: 7273 g
• Rozměry: 235 × 155 × 28 mm
• Datum vydání: 22. April 2015

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