01755nas a2200217   4500008004100000022001400041245008100055210006900136260001600205300000800221490000700229520109100236653001501327653000801342100002001350700002001370700002101390700002301411700002101434856008201455       2017                        eng d  a1471-210500aA new parallel pipeline for DNA methylation analysis of long reads datasets.0 anew parallel pipeline for DNA methylation analysis of long reads  c2017 Mar 09  a1610 v183 aBACKGROUND: 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.10aMethyl-Seq10aNGS1 aOlanda, Ricardo1 aPérez, Mariano1 aOrduña, Juan, M1 aTárraga, Joaquín1 aDopazo, Joaquín  uhttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1574-3