Mumemto: efficient maximal matching across pangenomes
Vikram S Shivakumar1, Ben Langmead1
1Department of Computer Science, Johns Hopkins University.
Abstract:
Aligning genomes into common coordinates is central to pangenome analysis and construction, but it is also computationally expensive. Multi-sequence maximal unique matches (multi-MUMs) are guideposts for core genome alignments, helping 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 genome assemblies (960GB) in 25.7 hours with under 800 GB of memory, and over hundreds of fungal genome assemblies in minutes. Mumemto is implemented in C++ and Python and available open-source at https://github.com/vikshiv/mumemto.
Related Concept Videos
Genomic DNA in Eukaryotes
Formation of Species
Gene Evolution - Fast or Slow?
In contrast, regions which code...
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes
Evolutionary Relationships through Genome Comparisons
Multi-species Conserved Sequences
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...


