- Though the book's main focus is on data analysis, it will also treat other aspects linked to population genomics, including theory (Chap. 1) and sampling and lab data procedures
- All types of data and organims will be covered
- Emphasis on open source software
- Applications in molecular identification in a specific chapte
- Case studies and exercises throughout the book
Emmanuel Paradis is senior researcher in the French Institute of Research for Development (IRD). His research focuses on evolutionary models and their applications. The development and publication of software associated to his research has been an important aspect of his activities for more than twenty years. He adopted R as his main software for data analysis in 2000 and has since published and maintained several packages, including ape since 2002 and pegas since 2009. He gives regular workshops and trainings in several countries.
Title: Population Genomics with R
Author: Paradis, Emmanuel
ISBN: 9781138608184
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2020-05-05
Number of Pages: 378
Weight: 0.6912 kg
The author has taken good care of including several important as well as emerging topics (data acquisition, next generation sequencing) that would be extremely useful for the readers. suggest that this book be targeted to graduate students and researchers who have some background in basic genetics or are taking a graduate level population genetics course...The data acquisition chapter, descriptions of DNA sample quality, and file formats are the strengths. Case studies are very valuable and would provide more hands-on training on working on specific population genetics problems.
~Santhosh Girirajan, Pennsylvania State University
The strength of those chapters is to provide a global coverage of the field of population genetics based on a broad spectrum of statistical methods. The author proposes to deal with population genetic analyses in a unified programming framework that uses specific classes of the R packages ape/pegas and adegenet, and I was impressed by the work done.
~Oliver Francois, University Grenoble Alpes
This book could serve as both a reference book and a textbook. Population genetics, applied bioinformatics, genomics, molecular ecology, and conservation genetic classes with a lab component at both undergraduate and graduate levels could teach from this text. Graduate students and possible postdocs in evolutionary biology and applied bioinformatics could use this as a reference. Additionally, government and non-profit organizations that process genetic samples for conservation and management purposes would find this instruction useful. ...What this text offers is unique in that it is focused on practical steps to analyze data using already available programs that users can install...Given the variety of subjects and types of analyses, I think it could be a valuable resource for many students.
~Sarah Hendricks, San Diego Zoo Institute for Conservation Research
