pcadapt : an R package to perform genome scans for selection based on principal component analysis
Centre National de la Recherche Scientifique · Translational Innovation in Medicine and Complexity · +2 more institutions
Abstract
The R package pcadapt performs genome scans to detect genes under selection based on population genomic data. It assumes that candidate markers are outliers with respect to how they are related to population structure. Because population structure is ascertained with principal component analysis, the package is fast and works with large-scale data. It can handle missing data and pooled sequencing data. By contrast to population-based approaches, the package handle admixed individuals and does not require grouping individuals into populations. Since its first release, pcadapt has evolved in terms of both statistical approach and software implementation. We present results obtained with robust Mahalanobis…
Citation impact
- FWCI
- 49.48
- Percentile
- 100%
- References
- 34
Authors
3- KLKeurcien Luu
Centre National de la Recherche Scientifique, Translational Innovation in Medicine and Complexity, Université Grenoble Alpes
- ÉBÉric Bazin
Centre National de la Recherche Scientifique, Laboratoire d'Écologie Alpine, Université Grenoble Alpes
- MGMichaël G. B. BlumCorresponding
Centre National de la Recherche Scientifique, Translational Innovation in Medicine and Complexity, Université Grenoble Alpes
Topics & keywords
- Biology
- Selection (genetic algorithm)
- Principal component analysis
- Component (thermodynamics)
- Genome
- Computational biology
- R package
- Genetics