Evidence map›Paper›PMID 41292823›Full record

ArticlebioRxiv : the preprint server for biology2025

Leveraging FracMinHash Containment for Genomic

Judith S Rodriguez, Mahmudur Rahman Hera, David Koslicki

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.

Judith S RodriguezHuck Institutes of the Life Sciences, The Pennsylvania State University.
Mahmudur Rahman HeraDepartment of Computer Science and Engineering, The Pennsylvania State University.ORCID 0000-0002-5992-9012
David KoslickiHuck Institutes of the Life Sciences, The Pennsylvania State University.ORCID 0000-0002-0640-954X

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

Increasing availability of genomic data demands algorithmic approaches that can efficiently and accurately conduct downstream genomic analyses. These analyses, such as evaluating selection pressures within and across genomes, can reveal developmental and environmental pressures. One such commonly used metric to measure evolutionary pressures is based on the ratio of non-synonymous and synonomous substitution rates,

Identifiers

PMID41292823
PMCPMC12642639

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.