Predictive toxicology and risk assessments increasingly rely on Big Data analyses for more informed decision making. Toxicogenomics uses transcriptomic readouts to predict the characteristics of compounds based on the gene-expression profiling of cells in response to exposure. These large genomic analysis place new computational demands on researchers with the handling of datasets, the combining of tools and the reproducible deployment of an analysis presenting significant challenges.

This webinar highlights how these challenges can be overcome using the open source workflow management tool Nextflow within the OpenRiskNet e-infrastructure. Using the toxicogenomics example, we will show how a workflow can be created, deployed and shared across Kubernetes-based environments.