Novel Computational Pipeline for Comparative Whole-Genome Methylation Profiling In Bacteria

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198646" target="_blank" >RIV/00216305:26220/26:0198646 - isvavai.cz</a>

Result on the web

<a href="https://international-aset.net/avestia.com/EECSS2025_Proceedings/files/paper/ICBES/ICBES_156.pdf" target="_blank" >https://international-aset.net/avestia.com/EECSS2025_Proceedings/files/paper/ICBES/ICBES_156.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11159/icbes25.156" target="_blank" >10.11159/icbes25.156</a>

Result language

angličtina

Original language name

Novel Computational Pipeline for Comparative Whole-Genome Methylation Profiling In Bacteria

Original language description

DNA methylation is an important epigenetic mechanism in bacteria, involved in processes such as gene regulation, virulence, and antimicrobial resistance. Despite advances in long-read sequencing technologies, comparing methylation patterns across multiple bacterial strains remains challenging, largely due to genomic variability and the lack of standardized analytical approaches. In this study, we present a novel pipeline for the analysis of DNA methylation in Klebsiella pneumoniae using data from nanopore sequencing. The workflow supports two alignment strategies: mapping to a universal reference genome or to a sample-specific reference constructed de novo. This flexible approach enables both broad inter-strain comparisons and detailed strain-specific analyses, facilitating consistent and interpretable investigation of methylation patterns across diverse bacterial genomes.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA23-05845S" target="_blank" >GA23-05845S: Real-time determination of infection threats from raw nanopore signals using machine learning techniques</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science

ISBN

978-1-990800-61-0

ISSN

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e-ISSN

—

Number of pages

7

Pages from-to

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Publisher name

Avestia Publishing

Place of publication

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Event location

Paříž

Event date

Aug 17, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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