02283nas a2200253   4500008004100000022001400041245009200055210006900147260001600216300001400232490000700246520154200253653001101795653000801806653001601814653000801830100002301838700002001861700002101881700001701902700002001919700002101939856006901960       2015                        eng d  a1367-481100aA Parallel and Sensitive Software Tool for Methylation Analysis on Multicore Platforms.0 aParallel and Sensitive Software Tool for Methylation Analysis on  c2015 Jun 10  a3130-31380 v313 aMOTIVATION: DNA methylation analysis suffers from very long processing time, since the advent of Next-Generation Sequencers (NGS) has shifted the bottleneck of genomic studies from the sequencers that obtain the DNA samples to the software that performs the analysis of these samples. The existing software for methylation analysis does not seem to scale efficiently neither with the size of the dataset nor with the length of the reads to be analyzed. Since it is expected that the sequencers will provide longer and longer reads in the near future, efficient and scalable methylation software should be developed. RESULTS: We present a new software tool, called HPG-Methyl, which efficiently maps bisulfite sequencing reads on DNA, analyzing DNA methylation. The strategy used by this software consists of leveraging the speed of the Burrows-Wheeler Transform to map a large number of DNA fragments (reads) rapidly, as well as the accuracy of the Smith-Waterman algorithm, which is exclusively employed to deal with the most ambiguous and shortest reads. Experimental results on platforms with Intel multicore processors show that HPGMethyl significantly outperforms in both execution time and sensitivity state-of-the-art software such as Bismark, BS-Seeker or BSMAP, particularly for long bisulfite reads. AVAILABILITY: Software in the form of C libraries and functions, together with instructions to compile and execute this software. Available by sftp to anonymous@clariano.uv.es (password "anonymous"). CONTACT: Juan.Orduna@uv.es.10aBS-seq10aHPC10amethylation10aNGS1 aTárraga, Joaquín1 aPérez, Mariano1 aOrduña, Juan, M1 aDuato, José1 aMedina, Ignacio1 aDopazo, Joaquín  uhttp://bioinformatics.oxfordjournals.org/content/31/19/3130.long