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Efficient toolkit implementing best practices for principal component analysis of population genetic data.
- Published in:
- Bioinformatics, 2020, v. 36, n. 16, p. 4449, doi. 10.1093/bioinformatics/btaa520
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- Article
Performing Highly Efficient Genome Scans for Local Adaptation with R Package pcadapt Version 4.
- Published in:
- Molecular Biology & Evolution, 2020, v. 37, n. 7, p. 2153, doi. 10.1093/molbev/msaa053
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- Publication type:
- Article
Evaluation of redundancy analysis to identify signatures of local adaptation.
- Published in:
- Molecular Ecology Resources, 2018, v. 18, n. 6, p. 1223, doi. 10.1111/1755-0998.12906
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- Publication type:
- Article
pcadapt: an R package to perform genome scans for selection based on principal component analysis.
- Published in:
- Molecular Ecology Resources, 2017, v. 17, n. 1, p. 67, doi. 10.1111/1755-0998.12592
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- Publication type:
- Article
Identifying outlier loci in admixed and in continuous populations using ancestral population differentiation statistics.
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- Molecular Ecology, 2016, v. 25, n. 20, p. 5029, doi. 10.1111/mec.13822
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- Publication type:
- Article
Detecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes Data.
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- Molecular Biology & Evolution, 2016, v. 33, n. 4, p. 1082, doi. 10.1093/molbev/msv334
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- Publication type:
- Article