Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives.
Ontology highlight
ABSTRACT: The explosion of the data both in the biomedical research and in the healthcare systems demands urgent solutions. In particular, the research in omics sciences is moving from a hypothesis-driven to a data-driven approach. Healthcare is additionally always asking for a tighter integration with biomedical data in order to promote personalized medicine and to provide better treatments. Efficient analysis and interpretation of Big Data opens new avenues to explore molecular biology, new questions to ask about physiological and pathological states, and new ways to answer these open issues. Such analyses lead to better understanding of diseases and development of better and personalized diagnostics and therapeutics. However, such progresses are directly related to the availability of new solutio
SUBMITTER: Merelli I
PROVIDER: S-EPMC4165507 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
ACCESS DATA