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portada Comparative Gene Finding: Models, Algorithms and Implementation
Type
Physical Book
Author
Publisher
Language
English
Pages
382
Format
Hardcover
Dimensions
23.4x15.6x2.4 cm
Weight
0.74 kg.
ISBN13
9781447166924
Edition No.
0002
Categories

Comparative Gene Finding: Models, Algorithms and Implementation

Marina Axelson-Fisk (Author) · Springer · Hardcover

Comparative Gene Finding: Models, Algorithms and Implementation - Axelson-Fisk, Marina

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Synopsis "Comparative Gene Finding: Models, Algorithms and Implementation"

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.

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