MethylomeMiner: A novel tool for high-resolution analysis of bacterial methylation patterns from nanopore sequencing
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0199415" target="_blank" >RIV/00216305:26220/26:0199415 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S2001037025004507" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2001037025004507</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.csbj.2025.10.047" target="_blank" >10.1016/j.csbj.2025.10.047</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
MethylomeMiner: A novel tool for high-resolution analysis of bacterial methylation patterns from nanopore sequencing
Popis výsledku v původním jazyce
DNA methylation plays a key role in gene regulation, genome stability, bacterial adaptation, and many other essential cellular processes. Thanks to nanopore sequencing technology, it is now possible to detect these modifications during sequencing without any prior chemical treatment. However, methylation data processing and their interpretation in a biological context remain challenging as there are no convenient and easy-to-use tools available for this purpose. Therefore, here, we present a simple Python-based tool, MethylomeMiner, to process methylation calls from nanopore sequencing. The tool allows high-confidence methylation sites to be selected based on coverage and methylation rate and assigned to coding or non-coding regions using genome annotation. In addition, the tool supports population-level analysis using pangenome data to compare methylation patterns across multiple bacterial genomes. Altogether, MethylomeMiner provides a straightforward and reproducible workflow that can be easily integrated into existing analyses and helps uncover the functional roles of DNA methylation in bacterial genomes.
Název v anglickém jazyce
MethylomeMiner: A novel tool for high-resolution analysis of bacterial methylation patterns from nanopore sequencing
Popis výsledku anglicky
DNA methylation plays a key role in gene regulation, genome stability, bacterial adaptation, and many other essential cellular processes. Thanks to nanopore sequencing technology, it is now possible to detect these modifications during sequencing without any prior chemical treatment. However, methylation data processing and their interpretation in a biological context remain challenging as there are no convenient and easy-to-use tools available for this purpose. Therefore, here, we present a simple Python-based tool, MethylomeMiner, to process methylation calls from nanopore sequencing. The tool allows high-confidence methylation sites to be selected based on coverage and methylation rate and assigned to coding or non-coding regions using genome annotation. In addition, the tool supports population-level analysis using pangenome data to compare methylation patterns across multiple bacterial genomes. Altogether, MethylomeMiner provides a straightforward and reproducible workflow that can be easily integrated into existing analyses and helps uncover the functional roles of DNA methylation in bacterial genomes.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA23-05845S" target="_blank" >GA23-05845S: Určování infekčních hrozeb v reálném čase ze surových nanoporových signálů pomocí technik strojového učení</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Computational and Structural Biotechnology Journal
ISSN
—
e-ISSN
2001-0370
Svazek periodika
27
Číslo periodika v rámci svazku
October
Stát vydavatele periodika
SE - Švédské království
Počet stran výsledku
7
Strana od-do
4753-4759
Kód UT WoS článku
001612695400001
EID výsledku v databázi Scopus
2-s2.0-105020664171