Bio Informatics

Bio Informatics is…

Prof Giannopoulou works in the areas of genomics, epigenomics, and bioinformatics, and develops tools for the analysis of next-generation sequencing data. She is involved in high-throughput data analysis and biologically-driven projects related to rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and other autoimmune and inflammatory diseases.  The computational challenges that arise from high-throughput sequencing technologies, which can help decode and characterize the regulatory genome and epigenome, are addressed by using High-Performance Computing to run next-gen seq pipelines.  In the past, Prof Giannopoulou developed a framework for the integrative analysis of ChIP-sequencing data (ChIPseeqer), as well as data-integrative modeling approaches that combine genome-wide epigenetic patterns and transcription factor binding (using ChIP-sequencing data) to predict gene expression in cancer cells. She has consistently worked with a wide range of –omics data (genomics, epigenomics, proteomics), and in general designs, deploys and evaluates systems to address challenges that emerge from high-throughput biological data.

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