Evidence map›Paper›PMID 42395393›Full record

ArticlebioRxiv : the preprint server for biology2026

Agnostic material classification using differential de Bruijn graphs of DNA imprints.

Rachael M Cox, Zoya T Ansari, Charlie D Johnson, Edward M Marcotte, Andrew D Ellington, Sanchita Bhadra

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

6 authors.

Rachael M CoxDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-5407-1101
Zoya T AnsariDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0008-6826-5474
Charlie D JohnsonDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-1853-8514
Edward M MarcotteDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-8808-180X
Andrew D EllingtonDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-6246-5338
Sanchita BhadraDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-4956-2405

Funding

Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
NIGMS NIH HHS R35 GM122480
6 · The paper itself

Abstract

The wide variety of physical and chemical properties in materials makes the study of unknown substances challenging. We have previously proposed a theoretical framework for agnostic material characterization based on using nucleic acid 'imprints' of the materials and then analyzing material-specific patterns of derived sequences. Here we demonstrate an experimental and computational pipeline that can agnostically identify and distinguish varied materials based on DNA

Identifiers

PMID42395393
PMCPMC13320766

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.