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A new parallel pipeline for DNA methylation analysis of long reads datasets

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A new parallel pipeline for DNA methylation analysis of long reads datasets

dc.contributor.author	Olanda Rodríguez, Ricardo
dc.contributor.author	Pérez Martínez, Mariano
dc.contributor.author	Orduña Huertas, Juan Manuel
dc.contributor.author	Tárraga, Joaquín
dc.contributor.author	Dopazo Blázquez, Joaquín
dc.date.accessioned	2017-03-13T15:03:02Z
dc.date.available	2017-03-13T15:03:02Z
dc.date.issued	2017
dc.identifier.citation	Olanda Rodríguez, Ricardo Pérez Martínez, Mariano Orduña Huertas, Juan Manuel Tárraga, Joaquín Dopazo Blázquez, Joaquín 2017 A new parallel pipeline for DNA methylation analysis of long reads datasets Bmc Bioinformatics 18 161
dc.identifier.uri	http://hdl.handle.net/10550/57678
dc.description.abstract	Background: DNA methylation is an important mechanism of epigenetic regulation in development and disease. New generation sequencers allow genome-wide measurements of the methylation status by reading short stretches of the DNA sequence (Methyl-seq). Several software tools for methylation analysis have been proposed over recent years. However, the current trend is that the new sequencers and the ones expected for an upcoming future yield sequences of increasing length, making these software tools inefficient and obsolete. Results: In this paper, we propose a new software based on a strategy for methylation analysis of Methyl-seq sequencing data that requires much shorter execution times while yielding a better level of sensitivity, particularly for datasets composed of long reads. This strategy can be exported to other methylation, DNA and RNA analysis tools. Conclusions: The developed software tool achieves execution times one order of magnitude shorter than the existing tools, while yielding equal sensitivity for short reads and even better sensitivity for long reads.
dc.language.iso	eng
dc.relation.ispartof	Bmc Bioinformatics, 2017, vol. 18, num. 161
dc.subject	Genòmica
dc.subject	ADN
dc.subject	Informàtica
dc.title	A new parallel pipeline for DNA methylation analysis of long reads datasets
dc.type	journal article	es_ES
dc.date.updated	2017-03-13T15:03:02Z
dc.identifier.doi	10.1186/s12859-017-1574-3
dc.identifier.idgrec	116549
dc.rights.accessRights	open access	es_ES