Bioinformatics

  • Biological data integration and management

    Present bioinformatics faces a exponential growth of data. Genomics, clinical records, or simulation data accumulate terabytes of data that require to find new ways of storage or data transmission, the adaptation of analytical tools, and efficient ways to present results. 

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  • Computational infrastructures for biomolecular research

    E-infraestructures are becoming increasingly necessary to provide a computational basis for research communities. Computational infrastructures should combine efficient ways of managing data, and also provide workflow execution a different levels, from local clusters, to supercomputers.

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  • Functional consequences of protein variants

    The understanding of the functional consequences of such genetic variants is key to evaluate their influence in diseases, and their possible implication for diagnosis or the design of treatment.

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