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Data Production and Analysis in Population Genomics

Methods and Protocols

  • Book
  • © 2012

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
  • Includes supplementary material: sn.pub/extras

Part of the book series: Methods in Molecular Biology (MIMB, volume 888)

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Table of contents (18 protocols)

  1. Sampling and Experimental Design

  2. Producing Data

  3. Analyzing Data

Keywords

About this book

Population genomics is a recently emerged discipline, which aims at understanding how evolutionary processes influence genetic variation across genomes. Today, in the era of cheaper next-generation sequencing, it is no longer as daunting to obtain whole genome data for any species of interest and population genomics is now conceivable in a wide range of fields, from medicine and pharmacology to ecology and evolutionary biology. However, because of the lack of reference genome and of enough a priori data on the polymorphism, population genomics analyses of populations will still involve higher constraints for researchers working on non-model organisms, as regards the choice of the genotyping/sequencing technique or that of the analysis methods. Therefore, Data Production and Analysis in Population Genomics purposely puts emphasis on protocols and methods that are applicable to species where genomic resources are still scarce. It is divided into three convenient sections, each one tackling one of the main challenges facing scientists setting up a population genomics study. The first section helps devising a sampling and/or experimental design suitable to address the biological question of interest. The second section addresses how to implement the best genotyping or sequencing method to obtain the required data given the time and cost constraints as well as the other genetic resources already available, Finally, the last section is about making the most of the (generally huge) dataset produced by using appropriate analysis methods in order to reach a biologically relevant conclusion. Written in the successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, advice on methodology and implementation, and notes on troubleshooting and avoiding known pitfalls.

 

Authoritative andeasily accessible, Data Production and Analysis in Population Genomics serves a wide readership by providing guidelines to help choose and implement the best experimental or analytical strategy for a given purpose.

Editors and Affiliations

  • , Laboratoire d'Ecologie Alpine, Université Grenoble I, Grenoble Cedex 09, France

    François Pompanon

  • Laboratoire d'Ecologie Alpine, Université Grenoble 1, Grenoble, France

    Aurélie Bonin

Bibliographic Information

  • Book Title: Data Production and Analysis in Population Genomics

  • Book Subtitle: Methods and Protocols

  • Editors: François Pompanon, Aurélie Bonin

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-61779-870-2

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media New York 2012

  • Hardcover ISBN: 978-1-61779-869-6Published: 28 May 2012

  • Softcover ISBN: 978-1-4939-5913-6Published: 23 August 2016

  • eBook ISBN: 978-1-61779-870-2Published: 05 June 2012

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XI, 337

  • Topics: Human Genetics, Nucleic Acid Chemistry, Biostatistics

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