Название: Statistical Population Genomics
Автор:Dutheil J.Y.
Издательство:Springer
Год: 2021
Формат:PDF
Страниц:467
Размер: 29,9 МБ
Язык: English

With the advent of so-called “next generation” sequencing technologies, the study of genetic variation in populations gained a new dimension, turning population genetics into population genomics. While a scaling-up in data set size accompanied this shift, population genomics is more than just “big data” population genetics: because the objects of study here are “genomes” and not only “multiple genes,” the newly emerging field of population genomics comes along with its specific biological questions and statistical models.
Developments of new statistical methods are linked to the availability of particular data sets. As the first large population genomic initiatives came from primates, the development of many new methods targeted these organisms. Following the generation of increasingly diverse data sets, it is essential to promote the application of these methods to a broader range of organisms and questions.
The goal of this volume is to present the reader with state-of-the-art inference methods in population genomics. It focuses on data analysis based on rigorous statistical techniques. Data set preparation and preprocessing are covered in other volumes such as Statistical Genomics (Mathe´ and Davis eds) and Data Production and Analysis in Population Genomics (Pompanon and Bonin eds), while Evolutionary Genomics (Anisimova Ed) provides a more general background in evolutionary genomics.






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