Evidence map›Paper›PMID 39758981›Full record

ArticleiScience2024

Movi: A fast and cache-efficient full-text pangenome index.

Mohsen Zakeri, Nathaniel K Brown, Omar Y Ahmed, Travis Gagie, Ben Langmead

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Movi 2: fast and space-efficient queries on pangenomes.Bioinformatics (Oxford, England) · 2026
    Article
  2. Article
  3. Review
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  5. Article
  6. Article
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  8. Bounding the Average Move Structure Query for Faster and Smaller RLBWT Permutations.LIPIcs : Leibniz international proceedings in informatics · 2026
    Article
  9. Col-BWT: Pangenomic Seed Chaining with Maximal Matches Improves Read Classification.Journal of computational biology : a journal of computational molecular cell biology · 2026
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  10. Article
  11. Article
  12. Article
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  14. Movi 2: Fast and Space-Efficient Queries on Pangenomes.bioRxiv : the preprint server for biology · 2025
    Article
  15. Abundance ofmSphere · 2025
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  16. Article
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  18. Environmental and Maternal Imprints on Infant Gut Metabolic Programming.bioRxiv : the preprint server for biology · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mohsen ZakeriDepartment of Computer Science, Johns Hopkins University, Baltimore, MD 21218, US.
Nathaniel K BrownDepartment of Computer Science, Johns Hopkins University, Baltimore, MD 21218, US.
Omar Y AhmedDepartment of Computer Science, Johns Hopkins University, Baltimore, MD 21218, US.
Travis GagieFaculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Ben LangmeadDepartment of Computer Science, Johns Hopkins University, Baltimore, MD 21218, US.

Funding

Personal and panel references for improved alignmentR01HG011392 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2020 to 2025
$4.2M
Efficient and scalable pangenomes with the move structureR21HG013433 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2024 to 2025
$399k
NHGRI NIH HHS R01 HG011392NHGRI NIH HHS R21 HG013433
6 · The paper itself

Abstract

Pangenome indexes are promising tools for many applications, including classification of nanopore sequencing reads. Move structure is a compressed-index data structure based on the Burrows-Wheeler Transform (BWT). It offers simultaneous O(1)-time queries and O(r) space, where r is the number of BWT runs (consecutive sequence of identical characters). We developed Movi based on the move structure for indexing and querying pangenomes. Movi scales very well for repetitive text as its size grows strictly by r. Movi computes sophisticated matching queries for classification such as pseudo-matching lengths and backward search up to 30 times faster than existing methods by minimizing the number of cache misses and using memory prefetching to attain a degree of latency hiding. Movi's fast constant-time query loop makes it well suited to real-time applications like adaptive sampling for nanopore sequencing, where decisions must be made in a small and predictable time interval.

Indexed as

Biocomputational methodClassification of bioinformatical subjectGenomic analysis

Identifiers

PMID39758981
PMCPMC11696632

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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.