bioRxivBioinformaticsPreprint
Extraction and analysis of methylation features from Pacific Biosciences SMRT reads using MeStudio
Christopher RiccardiiD, Iacopo PasseriiD, Lisa CangioliiD, Camilla FagorziiD, Alessio MengoniiD, Marco FondiiD
Abstract
MotivationDNA methylation is the most relevant epigenetic information, present in eukaryotes and prokaryotes, and is related to several biological phenomena, from cellular differentiation to control of gene flow, pathogenesis and virulence. The widespread use of third-generation sequencing technologies allows direct and easy detection of genome-wide methylation profiles, offering increasing opportunities to understand and exploit the epigenomics landscape. ResultsWe introduce MeStudio, a pipeline which allows to analyse and combine genome-wide methylation profiles with genomic features. Outputs report the presence of DNA methylation in coding sequences, noncoding sequences, intergenic sequences, and sequences upstream to CDS. We show the usage and performances of MeStudio on a set of single-molecule real time sequencing outputs from the bacterial species Sinorhizobium meliloti. Availability and ImplementationMeStudio is written in Python, Bash and C and is freely available under an open source GPLv3 license at https://github.com/combogenomics/MeStudio Supplementary informationSupplementary data are available at Bioinformatics online. Contactcombo.unifi@gmail.com
- organism: bacteria (other)
- assay: long-read sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 0
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