The core research objectives of Mr. SymBioMath are:

  • Research on the Big-Data problems and computational intensive applications in high-performance computing:
    • New software libraries for out-of-core management of Big-Data, specially for I/O
    • Reduction of the computational space and runtime for all-all sequences
    • New data structures for in-core data management to reduce memory demand

  • New data processing applications in comparative genomics, especially those related to Big-Data sets, to allow genome-wide association studies, such as:
    • Modelling evolutionary events (SNP, mutations, translocations, deletions, duplications, inversions, etc.) aimed to understand evolution and extrapolate from them the divergence between sequences for phylogenetic tree construction
    • Comparison and synthesis of inter-genome distances
    • Gene-Gene interactions studies correlated with phenotype data

  • Implementing and packing commercial application prototypes to evaluate the potential for their exploitation in biomedical cases, in concrete in the study of
    • Adverse reactions to treatment in allergic patients
    • Interfacing, visualisation, and integration of external data sources as well as functional annotations