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Smart Data for Genomic Information Systems: the SILE Method
2018
Complex Systems Informatics and Modeling Quarterly
During the last two decades, data generated by Next Generation Sequencing Technologies have revolutionized our understanding of human biology and improved the study on how changes (variations) in the DNA are involved in the risk of suffering a certain disease. A huge amount of genomic data is publicly available and frequently used by the research community in order to extract meaningful and reliable gene-disease relationships. However, the management of this exponential growth of data has
doi:10.7250/csimq.2018-17.01
fatcat:g6kkf5uqpzh7fctqwd7d7kuqhq