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Gene Prediction

Methods and Protocols

  • Book
  • © 2019

Overview

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 1962)

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Table of contents (18 protocols)

Keywords

About this book

This volume introduces software used for gene prediction with focus on eukaryotic genomes. The chapters in this book describe software and web server usage as applied in common use-cases, and explain ways to simplify re-annotation of long available genome assemblies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary computational requirements, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls.



Cutting-edge and thorough, Gene Prediction: Methods and Protocols is a valuable resource for researchers and research groups working on the assembly and annotation of single species or small groups of species. 


Chapter 3 is available open access under a CC BY 4.0 license via link.springer.com.


Editors and Affiliations

  • Group Systems Biology of Motor Proteins, Department NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Goettingen, Germany

    Martin Kollmar

Bibliographic Information

  • Book Title: Gene Prediction

  • Book Subtitle: Methods and Protocols

  • Editors: Martin Kollmar

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-4939-9173-0

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2019

  • Hardcover ISBN: 978-1-4939-9172-3Published: 25 April 2019

  • eBook ISBN: 978-1-4939-9173-0Published: 24 April 2019

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XI, 284

  • Number of Illustrations: 5 b/w illustrations, 49 illustrations in colour

  • Topics: Bioinformatics, Gene Function

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