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Organizer: ELIXIR Slovenia, University...  or 


Keywords: Immunity  or toxicology  or python 

  • Online SPARQL Access to WikiPathways and AOP-Wiki Webinar

    23 March 2021

    Online SPARQL Access to WikiPathways and AOP-Wiki Webinar Linked data is basically structured data which is interlinked with other data so it becomes more useful through semantic queries. One way of doing this is through the integration of databases through RDF (Resource Description Framework, the standard model for data interchange) using the newly developed User Interfaces for WikiPathways and AOP-Wiki, providing a variety of useful features to facilitate exploring the databases and linking their data with other resources. The new features include a flexible, auto-populated query panel, SPARQL syntax highlighting, permalinks for SPARQL queries, and full-screen mode. The webinar will focus on the usability of the interface by walking through the various functionalities, and showing a variety of example queries against the WikiPathways and AOP-Wiki data. Furthermore, federated queries across resources will be executed to illustrate the strength of linked data. The webinar is for everyone who wants to learn how to use linked data resources such as WikiPathways and AOP-Wiki, and no preparations are necessary. The expected duration is 45 minutes with time for discussion and support with queries afterwards. 2021-03-23 15:00:00 UTC 2021-03-23 16:00:00 UTC register for online participation: register for online participation: [] EU H2020 mixed audience workshops_and_courses [] adverse outcome pathwaylinked datalife sciencesnanosafetynanoinformaticstoxicologyresource description frameworkSNORQL user interface
  • Online QSAR Modelling Hackathon by Easy Access to Jaqpot

    13 April 2021

    Online QSAR Modelling Hackathon by Easy Access to Jaqpot On Tuesday 13th April 2021, the NanoCommons team, in a joint initiative with the NanoSafety Cluster, will offer an entry-level workshop on in silico nanotoxicology, providing users with easy (no installations required) access to Jaqpot, a powerful and versatile nanotoxicological in silico prediction platform, enabled through powerful Google Colab notebooks. Users will receive training from the expert team from the National Technical University of Athens, who developed the platform, on how to develop a Quantitative Structure-Activity Relationship (QSAR) model and publish it as a web application through the Jaqpot platform with minimal programming skills requirements. Models built on Jaqpot can be used over the graphical user interface or across platforms over the API and can be shared to groups with controlled access and rights. The expected duration is 90 minutes with time for discussion and support during the session (by breakout rooms) and afterwards. Target audience: Bench and computational scientists looking into ways to enrich their data using in silico modelling procedures available to the community. Expectation: Willing to learn new things and active participation in the interactive hackathon. The training ervent will take place on Tuesday April 13th from 15:00 till approximately 16:30 h CEST. Feel free to join and please do not forget to register here: After registering, you will receive a confirmation email containing information about joining the hackathon. Please, be aware that some personal information may be collected for statistical purposes, however, in a blinded and anonymous way. The workshop will be partially recorded for educational purposes. You will find updates with more information about NanoCommons and training materials here. Feel free to redistribute this information within your projects and networks. We are happy to have as many participants as possible and to help the community with the FAIRification of their data by offering insight into application of in silico QSAR modelling in a more straightforward way. The NanoCommons team will be happy to answer your questions and to guide you in your requests! 2021-04-13 15:00:00 UTC 2021-04-13 17:00:00 UTC [] EU H2020 NanoCommons mixed audience workshops_and_courses [] nanosafetynanoinformaticstoxicologydata FAIRness

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