Evidence map›Paper›PMID 41983094›Full record

ArticleLIPIcs : Leibniz international proceedings in informatics2025

Efficiency of Learned Indexes on Genome Spectra.

Md Hasin Abrar, Paul Medvedev, Giorgio Vinciguerra

Abstract read
In one paragraph

Article in LIPIcs : Leibniz international proceedings in informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Efficiency of Learned Indexes on Genome Spectra.LIPIcs : Leibniz international proceedings in informatics · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Md Hasin AbrarDepartment of Computer Science and Engineering, Penn State, University Park, PA, USA.ORCID 0009-0002-5265-3364
Paul MedvedevDepartment of Computer Science and Engineering, Penn State, University Park, PA, USA.ORCID 0000-0003-3143-594X
Giorgio VinciguerraDepartment of Computer Science, University of Pisa, Italy.ORCID 0000-0003-0328-7791

Funding

Leveraging k-mer sketching statistics to enhance metagenomic methods and alignment algorithmsR01GM146462 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Antonio Blanca Pimentel, David Koslicki · 2022 to 2026
$2.2M
NIGMS NIH HHS R01 GM146462
6 · The paper itself

Abstract

Data structures on a multiset of genomic

Indexed as

Applied computing → BioinformaticsApplied computing → Computational biologyGenome spectrak-merslearned indexpiecewise linear approximationTheory of computation → Data structures design and analysis

Identifiers

PMID41983094
PMCPMC13073451

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.