Linking genomics and population genetics with R

Emmanuel Paradis, Thierry Gosselin, Jérôme Goudet, Thibaut Jombart, Klaus Schliep

Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

Abstract

Population genetics and genomics have developed and been treated as independent fields of study despite having common roots. The continuous progress of sequencing technologies is contributing to (re-)connect these two disciplines. We review the challenges faced by data analysts and software developers when handling very big genetic data sets collected on many individuals. We then expose how r, as a computing language and development environment, proposes some solutions to meet these challenges. We focus on some specific issues that are often encountered in practice: handling and analysing single-nucleotide polymorphism data, handling and reading variant call format files, analysing haplotypes and linkage disequilibrium and performing multivariate analyses. We illustrate these implementations with some analyses of three recently published data sets that contain between 60 000 and 1 000 000 loci. We conclude with some perspectives on future developments of r software for population genomics.

Originalspracheenglisch
Seiten (von - bis)54-66
Seitenumfang13
FachzeitschriftMolecular Ecology Resources
Jahrgang17
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - Jan 2017
Extern publiziertJa

Fingerprint

Untersuchen Sie die Forschungsthemen von „Linking genomics and population genetics with R“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren