Evidence map›Paper›PMID 41890807›Full record

ArticleBioinformatics advances2026

Alessia Marotta, Lapo Doni, Alessia Avesani, Iacopo Passeri, Camilla Fagorzi, Alessio Mengoni, Jaime Martinez-Urtaza, Frederico M Batista, Luigi Vezzulli, Emanuele Bosi

Abstract read
In one paragraph

Article in Bioinformatics advances, 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

10 authors.

Alessia MarottaDepartment of Earth, Environmental and Life Sciences (DISTAV), University of Genoa, Genoa, 16132, Italy.ORCID https://orcid.org/0009-0000-7497-4914
Lapo DoniDepartment of Earth, Environmental and Life Sciences (DISTAV), University of Genoa, Genoa, 16132, Italy.ORCID https://orcid.org/0009-0007-7728-301X
Alessia AvesaniDepartment of Earth, Environmental and Life Sciences (DISTAV), University of Genoa, Genoa, 16132, Italy.
Iacopo PasseriDepartment of Biology, University of Florence, Sesto Fiorentino, 50019, Italy.
Camilla FagorziDepartment of Biology, University of Florence, Sesto Fiorentino, 50019, Italy.
Alessio MengoniDepartment of Biology, University of Florence, Sesto Fiorentino, 50019, Italy.ORCID https://orcid.org/0000-0002-1265-8251
Jaime Martinez-UrtazaCentre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, DT4 8UB, UK.
Frederico M BatistaCentre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, DT4 8UB, UK.
Luigi VezzulliDepartment of Earth, Environmental and Life Sciences (DISTAV), University of Genoa, Genoa, 16132, Italy.
Emanuele BosiDepartment of Earth, Environmental and Life Sciences (DISTAV), University of Genoa, Genoa, 16132, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Understanding the bacterial epigenome is increasingly recognised as essential for uncovering key mechanisms of gene regulation, host-pathogen interactions, and adaptation to environmental changes. Third-generation sequencing technologies, such as Oxford Nanopore, now enable the direct detection of DNA modifications, making genome-wide epigenomic investigations both feasible and cost-effective. However, analysing Nanopore sequencing data remains computationally intensive and requires multiple steps, which can be complex to integrate. Currently, no existing workflow combines these steps in a single, easy-to-use pipeline. Additionally, many available tools lack automated genome-wide methylation profiling with integrated visualisations and statistics. Results: Here, we present Availability and implementation: The

Identifiers

PMID41890807
PMCPMC13016926

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.