cvlr: finding heterogeneously methylated genomic regions using ONT reads

dc.contributor.authorRaineri, Emanuele
dc.contributor.authorAlberola i Pla, Mariona
dc.contributor.authorDabad, Marc
dc.contributor.authorHeath, Simon
dc.date.accessioned2023-06-20T06:24:38Z
dc.date.available2023-06-20T06:24:38Z
dc.date.issued2023
dc.description.abstractSummary: Nanopore reads encode information on the methylation status of cytosines in CpG dinucleotides. The length of the reads makes it comparatively easy to look at patterns consisting of multiple loci; here, we exploit this property to search for regions where one can define subpopulations of molecules based on methylation patterns. As an example, we run our clustering algorithm on known imprinted genes; we also scan chromosome 15 looking for windows corresponding to heterogeneous methylation. Our software can also compute the covariance of methylation across these regions while keeping into account the mixture of different types of reads. Availability and implementation: https://github.com/EmanueleRaineri/cvlr. Contact: simon.heath@cnag.crg.eu. Supplementary information: Supplementary data are available at Bioinformatics Advances online.
dc.description.sponsorshipThis work was supported by a Spanish Plan Nacional grant [project: PGC2018-099640-B-I00]. Furthermore, we acknowledge support of the Spanish Ministry of Science and Innovation to the EMBL partnership, of the Centro de Excelencia Severo Ochoa and of the CERCA Programme/Generalitat de Catalunya. We also acknowledge support of the Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III of the Generalitat de Catalunya through Departament de Salut and Departament d’Universitats i Recerca. We also acknowledge the Co-financing with funds from the European Regional Development Fund by the Spanish Ministry of Science and Innovation corresponding to the Programa Operativo FEDER Plurirregional de España (POPE) 2014–2020 and by the Departament d’Universitats i Recerca of the Generalitat de Catalunya corresponding to the Programa Operatiu FEDER de Catalunya 2014–2020.
dc.format.mimetypeapplication/pdf
dc.identifier.citationRaineri E, Alberola I Pla M, Dabad M, Heath S. cvlr: finding heterogeneously methylated genomic regions using ONT reads. Bioinform Adv. 2023 Jan 23;3(1):vbac101. DOI: 10.1093/bioadv/vbac101
dc.identifier.doihttp://dx.doi.org/10.1093/bioadv/vbac101
dc.identifier.issn2635-0041
dc.identifier.urihttp://hdl.handle.net/10230/57257
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.ispartofBioinform Adv. 2023 Jan 23;3(1):vbac101
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/PGC2018-099640-B-I00
dc.rights© The Author(s) 2023. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordGenome analysis
dc.titlecvlr: finding heterogeneously methylated genomic regions using ONT reads
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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