Sebastian Vorbrugg

This study analyzes mitochondrial and chloroplast genomes of Arabidopsis thaliana to show that large repeats correlate with geography and phenotypes, and identify novel ORFs potentially from horizontal gene transfer.

The paper curates and presents a collection of long-read genome assemblies for Arabidopsis thaliana accessions to enhance plant genome research.

Gretl evaluates genome graphs to identify genetic variation patterns and improve analysis of complex genomic data.

Gfa2bin converts genome graphs to pan-genomic genotypes for GWAS, identifying additional associations with higher significance than SNP-based approaches in Arabidopsis thaliana.

This paper introduces PGGB, a pipeline for building pangenome graphs that includes all variation without bias, enabling variation detection, conservation measurement, recombination event detection, and phylogenetic inference.

The paper analyzes whole-genome polymorphism data from 27 Arabidopsis thaliana genomes to highlight challenges and insights in unbiased genetic variation characterization.

TIPPo assembles organellar genomes using HiFi data without reference genomes or nuclear information, achieving complete chloroplast assemblies and improved mitochondrial results compared to existing tools.