Evidence map›Paper›PMID 39192886›Full record

ArticleDevelopments in language theory. Conference on Developments in Language Theory2024

How to Find Long Maximal Exact Matches and Ignore Short Ones.

Travis Gagie

Abstract read
In one paragraph

Article in Developments in language theory. Conference on Developments in Language Theory, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Lossless pangenome indexing using tag arrays.Algorithms for molecular biology : AMB · 2026
    Article
  2. Article
  3. Article
  4. KeBaB:International Symposium on String Processing and Information Retrieval : SPIRE ... : proceedings. SPIRE (Symposium) · 2026
    Article
  5. Article
  6. Haplotype Matching with GBWT for Pangenome Graphs.bioRxiv : the preprint server for biology · 2025
    Article
  7. Faster run-length compressed suffix arrays.Oasics : openaccess series in informatics · 2025
    Article
  8. BWT construction and search at the terabase scale.Bioinformatics (Oxford, England) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Travis GagieFaculty of Computer Science, Dalhousie University, Halifax, Canada.ORCID 0000-0003-3689-327X

Funding

Personal and panel references for improved alignmentR01HG011392 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2020 to 2025
$4.2M
NHGRI NIH HHS R01 HG011392
6 · The paper itself

Abstract

Finding maximal exact matches (MEMs) between strings is an important task in bioinformatics, but it is becoming increasingly challenging as geneticists switch to pangenomic references. Fortunately, we are usually interested only in the relatively few MEMs that are longer than we would expect by chance. In this paper we show that under reasonable assumptions we can find all MEMs of length at least

Indexed as

Burrows-Wheeler Transformgrammar-based compressionMaximal exact matchespangenomics

Identifiers

PMID39192886
PMCPMC11348826

What OpenQuestion holds

Textmetadata
LicenceTDM
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.