Linked data for bioinformatics
Keywords: Comunica, RML, knowledge graph, Bioinformatics
Supervision: Pieter Colpaert
Students: max 2
Over the last decades, along with the availability of low-cost high throughput experimental platforms, the volume of genomics, transcriptomics, proteomics, metabolomics (-omics) and imaging data, especially from healthcare, medicine and biology experiments, has grown exponentially. A grand challenge of the multi-omics era is to close the gap between the available data and how much of that have been turned into knowledge. We want you to join us to best leverage existing IDLab linked data tool suite and create innovative solutions to tackle this challenge.