Data Mining and Translational Research
Recent technological advances in high-throughput experimental analysis have had a profound impact on the practices and scope of biomedical research. The volumes of data collected at the genome scale and the requirements for tools to analyze them have largely mobilized the data analysis community.
Translational Bioinformatics is an emerging field that addresses the current challenges of integrating increasingly voluminous amounts of molecular and clinical data. Its aim is to provide a better understanding of the molecular basis of disease, which in turn will inform clinical practice and ultimately improve human health.
Therefore, Translational Bioinformatics can be defined as the "development of storage, analytic, and interpretative methods to optimize the transformation of increasingly voluminous biomedical data - genomic data in particular - into proactive, predictive, preventive, and participatory health management".