Mumemto: efficient maximal matching across pangenomes
Aligning genomes into common coordinates is central to pangenome construction, though computationally expensive. Multi-sequence maximal unique matches (multi-MUMs) help to frame and solve the multiple alignment problem. We introduce Mumemto, a tool that computes multi-MUMs and other match types across large pangenomes. Mumemto allows for visualization of synteny, reveals aberrant assemblies and scaffolds, and highlights pangenome conservation and structural variation. Mumemto computes multi-MUMs across 320 human assemblies (960GB) in 25.7 h with 800 GB of memory and hundreds of fungal assemblies in minutes. Mumemto is implemented in C++ and Python and available open-source at https://github.com/vikshiv/mumemto (v1.1.1 at doi.org/10.5281/zenodo.15053447 ).
Authors
- Ben Langmead (ORCID: https://orcid.org/0000-0003-2437-1976)
- Vikram S Shivakumar
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- Genome biology
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1186/s13059-025-03644-0
- Citations
- 2
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- National Science Foundation
- Johns Hopkins University
- Israel Institute for Biological Research
- National Human Genome Research Institute