Per Unneberg

The paper introduces VCF Zarr, a format for efficiently storing and processing large-scale genetic variation data, demonstrating improved performance and scalability over traditional VCF formats.

aMeta is a metagenomic profiling workflow that improves accuracy and reduces memory usage in ancient microbiome analysis.

The paper expands the stdpopsim species catalog and improves genome simulations by adding non-crossover recombination and species-specific annotations, making simulations more realistic for non-model organisms.

The paper analyzes TE distribution and RIP patterns in 10 Neurospora species using nearly gapless genome assemblies, showing a correlation between TE content, genome size, and RIP signatures.

Bioconda provides a sustainable, comprehensive distribution of bioinformatics software using Conda for reproducible analysis across platforms.