The increasing availability of "big" biological and medical data continues to constitute significant challenges as well as opportunities in biomedical research. New technologies, such as next-generation sequencing, and new health-related policies, like the ones associated with electronic medical records, promise to produce even more data in the near future. The main research question in biomedical sciences has been how to extract useful knowledge from such massive raw data. The development of innovative tools to integrate, analyze and mine such data sources is a key step towards achieving large impact levels. In addition, advanced tools for visualizing biomedical data at various processing stages are critical in maximizing the value of its utilization. As a result, attention has been shifting recently for a focus on data generation technologies to data analysis and data visualization tools. Such tools are critical in taking full advantage of the public and private data currently available to all biomedical researchers.
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