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DNA methylation (mC) and hydroxymethylation (hmC) can significantly affect the normal human development, as well as health and disease status. hmC studies require not only specific treatment of DNA, but also software tools for their analysis. However, there are no software tools capable of analyzing DNA hmC currently. In this article, we propose HPG-HMapper, a parallel software tool for analyzing the DNA hmC data obtained by ten-eleven translocation–assisted bisulfite sequencing. This tool takes as input data the output files of mC aligner tools, and it yields mC maps and the accounting of methylated and hydroxymethylated bases on each chromosome. The design of this tool includes the consideration of different approaches, one of them based on binary trees and the other one based on bit arrays. The performance evaluation results show that a hybrid implementation is the most efficient option, allowing fast read and update operations while keeping a small memory footprint.

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The aim of this paper is to describe a new Stereovision Laboratory. It was designed and constructed by the authors of the paper in the University of Valencia. It consists of four cameras with its special equipment, a moving track, hardware and software for calculation and visualization. The tests carried out on the measurement stand lead to obtain the set of data describing the movement of human body. The stored data serves to analyze static and dynamic behavior of some parts ofhuman body like arms, legs or vertebral colunm. Special software was design in order to do visual inspection of the movement and to select a proper data.