Evidence map›Paper›PMID 40528225›Full record

ArticleGenome biology2025

Mumemto: efficient maximal matching across pangenomes.

Vikram S Shivakumar, Ben Langmead

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Navigating the pangenome coordinate system with Shredtools.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Min-frame transformation enables more sensitive viral genome alignment.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Col-BWT: Pangenomic Seed Chaining with Maximal Matches Improves Read Classification.Journal of computational biology : a journal of computational molecular cell biology · 2026
    Article
  7. Prefix-free parsing for merging big BWTs.International Symposium on String Processing and Information Retrieval : SPIRE ... : proceedings. SPIRE (Symposium) · 2026
    Article
  8. Bounding the Average Move Structure Query for Faster and Smaller RLBWT Permutations.LIPIcs : Leibniz international proceedings in informatics · 2026
    Article
  9. Article
  10. Partitioned Multi-MUM finding for scalable pangenomics.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Vikram S ShivakumarDepartment of Computer Science, Johns Hopkins University, Baltimore, USA. vshivak1@jhu.edu.
Ben LangmeadDepartment of Computer Science, Johns Hopkins University, Baltimore, USA. langmea@cs.jhu.edu.

Funding

Personal and panel references for improved alignmentR01HG011392 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2020 to 2025
$4.2M
National Science Foundation, United States DGE2139757National Science Foundation, United States IIBR 2029552NHGRI NIH HHS R01 HG011392NHGRI NIH HHS R01HG011392
6 · The paper itself

Abstract

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 ).

Indexed as

Genome, HumanGenomicsSequence AlignmentSoftwareHumans

Identifiers

PMID40528225
PMCPMC12172372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.