The Marschall Lab

Our research group, headed by Prof. Dr. Tobias Marschall, mainly works on genome data science, with a focus on novel algorithms and software tools for computational genomics. We address computational challenges arising from latest sequencing technologies to further our understanding of genomic variation and their consequences on phenotypic variation and disease. Over the past years, a special emphasis has been on methods for haplotype reconstruction, genome assembly, structural variation analysis, pangenomics and single-cell genomics.

Structural and genetic diversity in the secreted mucins, MUC5AC and MUC5B
bioRxiv, March 20, 2024
Plender E, Prodanov T, Hsieh P, Nizamis E, Harvey W, Sulovari A, Munson K, Kaufman E, O'Neal W, Valdmanis P, Marschall T, Eichler E
Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data
Genome Biology, January 19, 2024
Serra Mari R, Schrinner S, Finkers R, Ziegler FMR, Arens P, Schmidt MH, Usadel B, Klau GW, Marschall T

Legend: * joint first author; joint last author


A tool for computing statistics for GFA-formatted pangenome graphs


A short-read genotyper for various types of genetic variants (such as SNPs, indels and structural variants) represented in a pangenome graph.


A tool to align long reads to genome graphs.


Minimizer based sparse de Bruijn Graph constructor


Generation and alignment of panproteome graphs


A tool for read-based phasing.