Meisner Lab

Publications & software

Publications & software

Current projects and selected tools for population and statistical genetics.

Current work

Haplotype analysis↗

hapla

Haplotype clustering and downstream population-structure analysis for phased whole-genome data.

HaplotypesPopulation structureLocal ancestry
Ancestry estimation↗

fastmixture

Fast, robust estimation of ancestry proportions in unrelated individuals.

AdmixtureScalable
In developmentTBA

swerge

Scalable whole-genome regression for biobank-scale data.

Whole genomeRegressionTBA

Other tools

View GitHub
PCAngsd

Population structure and related analyses from low-depth sequencing data.

 HaploNet

Haplotype and population-structure inference using neural networks.

 emu

EM-PCA for ultra-low-coverage sequencing data.

Selected publications

Selected publications

Work on low-depth sequencing, population structure, and computational genetics.

Genetics

Inferring population structure and admixture proportions in low-depth NGS data

Jonas Meisner & Anders Albrechtsen

↗ Genome Research

Haplotype and population structure inference using neural networks in whole-genome sequencing data

Jonas Meisner & Anders Albrechtsen

↗ Methods

Testing for Hardy–Weinberg equilibrium in structured populations using genotype or low-depth sequencing data

Statistical methods for uncertain and structured genetic data

↗ BMC Bioinformatics

Detecting selection in low-coverage high-throughput sequencing data using principal component analysis

Population-genetic inference from low-depth data

↗

For the complete and current publication record:

Google Scholar UCPH research profile