Data mining nad genomics

Abstract

The availability of use of high-performance computers and large-storage electronic devices, among others, has allowed the generation of a huge masses of digital data, an idea that can be represented by velocity, volume and variety. Data mining is a process that permits to discover relevant patterns or relations, not previously seen with traditional methods of analysis, in large databases and generate models. It uses tools from Database Systems, Data Warehouse, Machine Learning, Statistics, Information Visualization and High-Performance Computing. In the last decades, molecular biology has moved from individual gene analysis to more complex studies that involve the complete genome. The development of high-throughput genomic technologies, such as microarrays and next-generation sequencing, has promoted the exponential growth of a huge amount of information, expanding our knowledge on the genetic basis of various diseases. In genomics medicine, the application of data mining techniques has become an increasingly important process that contributes towards a personalized medicine, that involves the inference of clinically relevant models and defines individualized therapeutic strategies based on the molecular data of patients