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Gene Prediction
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Gene Prediction : Methods and Protocols

2019 ed.

Book Details

Format Hardback or Cased Book
ISBN-10 1493991728
ISBN-13 9781493991723
Edition 2019 ed.
Publisher Humana Press Inc.
Imprint Humana Press Inc.
Country of Manufacture US
Country of Publication GB
Publication Date Apr 25th, 2019
Print length 284 Pages
Ksh 27,000.00
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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.
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.


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