Abstract

Abstract
The financial crisis and the growth of Information Technology have led companies to look for innovative ways to achieve knowledge in order to meet the demands of the market. This article presents a synthesis definition of characteristics and behaviors of the companies phase to risks, to design a tool of simulation of competitiveness that is an advantage for the managers. This research was based on the analysis of business administration books and Artificial Intelligence, by authors such as: P. Drucker or M. Mitchell and S. Forrest. It resulted in the design of a tool to simulate the competitiveness of companies, based on the definition of a genome and an artificial ecosystem. As future work, it will be interesting to develop the designed tool and analyze its operation based on real data shared by business managers.

Abstract
Cancer is characterised by somatic genetic variation, but the effect of the majority of non-coding somatic variants and the interface with the germline genome are still unknown. We analysed the whole genome and RNA-seq data from 1,188 human cancer patients as provided by the Pan-cancer Analysis of Whole Genomes (PCAWG) project to map cis expression quantitative trait loci of somatic and germline variation and to uncover the causes of allele-specific expression patterns in human cancers. The availability of the first large-scale dataset with both whole genome and gene expression data enabled us to uncover the effects of the non-coding variation on cancer. In addition to confirming known regulatory effects, we identified novel associations between somatic variation and expression dysregulation, in particular in distal regulatory elements. Finally, we uncovered links between somatic mutational signatures and gene expression changes, including TERT and LMO2, and we explained the inherited risk factors in APOBEC-related mutational processes. This work represents the first large-scale assessment of the effects of both germline and somatic genetic variation on gene expression in cancer and creates a valuable resource cataloguing these effects.

Abstract
Foot-tapping and moving to music is such a natural human activity, one may assume that feeling the beat in music is a simple task. Feeling the beat and then producing it, e.g., by foot tapping, is an intrinsically real-time process. As listeners, we do not wait for the beat to occur before tapping our foot; instead, we make predictions about when the next beat in the music will occur and continually revise our sense of the beat based on the accuracy of our predictions. Likewise, performing musicians have shared sense of beat, which is what allows them to play in time together. © 2017 IEEE.

Abstract

Abstract
The big amount of data generated nowadays are being used by Big Data tools to generate knowledge and to facilitate the decision-making. However, this situation creates a new challenge: how to visualize all these data without losing mid/long term crucial information. The purpose of this article is to analyze the state of the art on massive data visualization, main problems and challenges of information representation current techniques as well as the evolution of the tools and the future of them, in other words, new functionalities to offer.