Evidence map›Paper›PMID 41292736›Full record

ArticlebioRxiv : the preprint server for biology2025

MaxGeomHash: An Algorithm for Variable-Size Random Sampling of Distinct Elements.

Mahmudur Rahman Hera, David Koslicki, Conrado Martínez

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mahmudur Rahman HeraCenter for Advanced Biotechnology & Medicine, Rutgers University, NJ, USA.ORCID 0000-0002-5992-9012
David KoslickiComputer Science and Engineering, Biology, and the Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-0640-954X
Conrado MartínezDepartment of Computer Science, Universitat Politècnica de Catalunya, Barcelona, Spain.

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

With the surge in sequencing data generated from an ever-expanding range of biological studies, designing scalable computational techniques has become essential. One effective strategy to enable large-scale computation is to split long DNA or protein sequences into

Indexed as

dimensionality reductionFracMinHashk-mersMinHashRandom samplingsimilarity estimationsketching

Identifiers

PMID41292736
PMCPMC12642548

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.