Genome Variation and Evolution Lab

Pangenomes are now redefining our understanding of genetic variations across populations and genome evolution across species. A single reference genome cannot fully represent human genetic diversity, even when it is complete enough to be considered “Telomere-to-Telomere”. To fully harness the power of pangenomes in biomedicine, there is a pressing need for efficient methods to store, visualize, and extract relevant information. Our lab aims to understand human genome variation and evolution across different genomic regions by developing interpretable and efficient methods in comparative pan-genomics, leveraging machine learning methods and statistical analysis. The Genome Variation and Evolution Lab is led by Dr. Sina Majidian and located at the Data Science and AI division, Department of Computer Science and Engineering, University of Gothenburg and Chalmers University of Technology in Gothenburg, Sweden.