The main objective of OpenRiskNet is to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials.
* a virtual research environment for predictive toxicology and chemical and nanomaterial risk assessment,
* harmonising access to data and facilitating interoperability of software,
* easily deployable to single computers, public and in-house cloud solutions,
* addressing the needs of industry and academic researchers, risk assessors, regulators and informed public.
OpenRiskNet (Grant Agreement 731075) is a 3-years project funded by the European Commission within the Horizon2020 Programme
Use of Nextflow tool for toxicogenomics-based prediction and mechanism identification in OpenRiskNet e-infrastructure
27 May 2019Use of Nextflow tool for toxicogenomics-based prediction and mechanism identification in OpenRiskNet e-infrastructure https://openrisknet.org/events/65/ https://tess.elixir-europe.org/events/use-of-nextflow-tool-for-toxicogenomics-based-prediction-and-mechanism-identification-in-openrisknet-e-infrastructure 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. 2019-05-27 16:00:00 UTC 2019-05-27 17:00:00 UTC OpenRiskNet Toxicology    workshops_and_courses first_come_first_served toxicogenomics