Bioinformatics in action - building and using the HEAP platform. Alex Ormenisan

The Human Exposome Assessment Platform (HEAP) provides a robust informatics tool tailored to the needs of exposome researchers. It summarises four years of collaboration between researchers and software engineers from HEAP consortia. This tool facilitates the management and integration of heterogeneous data sources, offers analytics and machine learning capabilities, and enables the interpretation of chronological and causal relationships from big data.
In this presentation, we will begin with an overview of the HEAP platform’s key technical features and conclude with practical demonstrations, following by an overview of the applications of parallel computation in cancer research.
The presentation can be watched alongside HEAP use-case demonstrations, including “Biopipe”, an open-source validated bioinformatic pipeline developed for taxonomy profiling of human cancers, and a demonstration of non-targeted deep-sequencing strategies enabling full microbiome characterization up to species level.
Alex Ormenisan is a co-founder and senior software engineer at Heap consortia partner Hopsworks. He specializes in architecting backend solutions for large-scale distributed systems. His research interests include machine learning, metadata management and data governance.