Xinzhu Wei

This paper introduces Mikado, a method using sparse linear algebra to accelerate genotype representation graph computations, significantly improving speed over existing tools on large biobank datasets.

The paper introduces GRG v2 and grapp to enable faster and more efficient whole-genome analysis for large biobank datasets.

GrgPhenoSim is a fast phenotype simulator for Genotype Representation Graphs, outperforming existing tools on large-scale datasets.

mrpast infers complex demographic histories from whole-genome genealogies, accurately recovering parameters like migration rates and population sizes in various models.

This study simulates selective sweeps in spatially structured populations and finds that low dispersal leads to distinct genetic signatures, including reduced diversity and intermediate-frequency variants.

The paper introduces IGD, a simple and efficient genotype data format that outperforms vcf.gz in speed and size for whole-genome sequence data.

The paper introduces Genotype Representation Graphs (GRGs) to efficiently store and analyze large-scale genomic data, reducing storage and computation time compared to traditional formats.

This paper introduces GPC, a deep generative model for genetic variation data that improves imputation accuracy and privacy preservation compared to existing methods.

This study assesses the contribution of Neanderthal introgression to human complex traits using UK Biobank data, finding significant but depleted effects compared to modern human variants.

This study benchmarks three ARG inference methods for estimating coalescence times using simulations, finding ARGweaver most accurate but less scalable than Relate and tsinfer+tsdate.

The paper reanalyzes UK Biobank data and finds no evidence for CCR5-Δ32 affecting lifespan, attributing previous findings to technical artifacts.