Keurcien Luu

Efficient toolkit implementing best practices for principal component analysis of population genetic data

The paper presents best practices and efficient implementations for PCA of genetic data to address issues like LD structure capture, shrinkage bias, and population structure confounding.

Evaluation of redundancy analysis to identify signatures of local adaptation

This paper evaluates redundancy analysis (RDA) for identifying loci under selection by comparing it to PCA and LFMM in simulations and applying it to Populus trichocarpa SNP data.

Identifying outlier loci in admixed and in continuous populations using ancestral population differentiation statistics

The paper introduces a method to identify outlier loci under selection in admixed and continuous populations by extending FST statistics using ancestry coefficients and factor models.

pcadapt: an R package to perform genome scans for selection based on principal component analysis

pcadapt detects genes under selection using principal component analysis, outperforming other tools in handling admixed individuals and maintaining low false discovery rates.