Evidence map›Paper›PMID 42253215›Full record

ArticleNucleic acids research2026

DNAviWEB: sequencing-free clinical screening of liquid biopsies.

Anja Hess, Yara Matani, Dominik Seelow, Helene Kretzmer

Abstract read
In one paragraph

Article in Nucleic acids research, 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

4 authors.

Anja HessCenter of Genomic Medicine, Exploratory Diagnostic Sciences, Berlin Institute of Health at the Charité Universitätsmedizin Berlin, Berlin 10117, Germany.ORCID 0000-0001-6634-9502
Yara MataniHasso Plattner Institute for Digital Engineering, Digital Engineering Faculty, University of Potsdam, Potsdam 14482, Germany.ORCID 0009-0002-9746-8963
Dominik SeelowCenter of Genomic Medicine, Exploratory Diagnostic Sciences, Berlin Institute of Health at the Charité Universitätsmedizin Berlin, Berlin 10117, Germany.ORCID 0000-0002-9746-4412
Helene KretzmerMax Planck Institute for Molecular Genetics, Berlin 14195, Germany.ORCID 0000-0002-0723-4980

Funding

Hasso Plattner Institute for Digital EngineeringMax Planck SocietyUniversität Potsdam
6 · The paper itself

Abstract

Noninvasive cell-free DNA (cfDNA) fragmentation profiles are gaining popularity as diagnostic tools for a wide range of conditions contributing to the global health burden, such as cancer, autoinflammatory disorders, and adverse events in pregnancy or transplantation. Despite their diagnostic value, fragmentomics rely on DNA sequencing, resulting in significant costs and turnaround times, therefore limiting their translation to everyday clinical care. Here, we present DNAviWEB (https://dnavi.sc.hpi.de/), a freely accessible implementation of the DNAvi analysis tool for exploring cfDNA fragmentomics from DNA gel electrophoresis in research settings. DNAviWEB enables instant presequencing analysis of cfDNA while integrating into medical workflows by providing browsable European Genome-phenome Archive and European Liquid Biopsy Society metadata catalogs and delivering rich outputs of patient group-stratified cfDNA statistics, visualizations, and secure storage capacities for clinical data. The DNAviWEB platform opens the exploration, analysis, and database deposition of liquid biopsy DNA profiles to a broad community of clinicians and researchers. DNAviWEB is free and open source.

Indexed as

Cell-Free Nucleic AcidsSoftwareHumansInternetLiquid BiopsySequence Analysis, DNACell-Free Nucleic Acids

Identifiers

PMID42253215
PMCPMC13355061

What OpenQuestion holds

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LicenceCC BY-NC
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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.