Overview
- Presents an experimental framework to ascribe functions to plant genes in model and crop plants
- Describes methods for generating mutants in model and specific target plants
- Includes detailed protocols for the analysis of transcriptome, metabolome, and ultra high-throughput sequencing data
- Examines high-throughput analysis supported by simple computer scripts to automate the process
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 678)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (18 protocols)
Reviews
From the reviews:
“This book includes a compendium of methods and protocols derived from functional genomics that have been developed during the last decade … . The book is organized in chapters written by leading researchers from different groups … . Large scale phenotyping is also described with protocols suitable for application in different lab conditions. … Gramene database is presented as an example of integrated information … derived from different species, providing details of the information gathered in it as well as available tools for sequence comparisons.” (Ruth Heinz and Norma Paniego, Boletin de Bibleoteca del IMYZA-INTA, Issue 26, June, 2011)Editors and Affiliations
Bibliographic Information
Book Title: Plant Reverse Genetics
Book Subtitle: Methods and Protocols
Editors: Andy Pereira
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-60761-682-5
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-60761-681-8Published: 11 October 2010
Softcover ISBN: 978-1-4939-6127-6Published: 23 August 2016
eBook ISBN: 978-1-60761-682-5Published: 08 October 2010
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XI, 282
Topics: Plant Sciences, Plant Genetics and Genomics, Gene Function