Comparative Gene Finding: Models, Algorithms and Implementation (Computational Biology 20 2nd ed. 2015)

Comparative Gene Finding: Models, Algorithms and Implementation (Computational Biology 20 2nd ed. 2015)

By: Marina Axelson-Fisk (author)Hardback

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Description

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.

Contents

Introduction Single Species Gene Finding Sequence Alignment Comparative Gene Finding Gene Structure Submodels Parameter Training Implementation of a Comparative Gene Finder Annotation Pipelines for Next Generation Sequencing Projects

Product Details

  • ISBN13: 9781447166924
  • Format: Hardback
  • Number Of Pages: 382
  • ID: 9781447166924
  • weight: 7273
  • ISBN10: 1447166922
  • edition: 2nd ed. 2015

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