MPore: database-driven identification of active methyltransferases in prokaryotic genomes from nanopore sequencing.

Azlan Nisar, Lars Vogelgsang, Sebastian Fuchs, Klaus Pfeffer, Birgit Henrich, Alexander Dilthey

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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.

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6 authors.

Azlan NisarInstitute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Universitäts str. 1, Düsseldorf, North-rhine-westphalia, 40225, Germany.ORCID https://orcid.org/0009-0009-2898-608X

Lars VogelgsangInstitute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Universitäts str. 1, Düsseldorf, North-rhine-westphalia, 40225, Germany.

Sebastian FuchsInstitute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Universitäts str. 1, Düsseldorf, North-rhine-westphalia, 40225, Germany.

Klaus PfefferInstitute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Universitäts str. 1, Düsseldorf, North-rhine-westphalia, 40225, Germany.

Birgit HenrichInstitute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Universitäts str. 1, Düsseldorf, North-rhine-westphalia, 40225, Germany.

Alexander DiltheyInstitute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Universitäts str. 1, Düsseldorf, North-rhine-westphalia, 40225, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: In prokaryotic genomes, methylation is an important epigenetic modification that regulates the uptake of foreign DNA; it can also contribute to replication or virulence. We present MPore, a novel method for the database-driven detection of active methyltransferases and their associated target site recognition motifs from Nanopore R10 sequencing data of prokaryotic isolates. In contrast to existing methods, which typically start with the Results: On two benchmarking datasets, 10 bacterial monocultures and two Availability and implementation: MPore is freely available under the MIT license at https://github.com/DiltheyLab/MPore.

Identifiers

PMID42170027

DOI10.1093/bioadv/vbag077

PMCPMC13189711

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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.