OpenRiskNet/NanoCommons ontology meeting
13 - 14 December 2018
Brussels, BelgiumOpenRiskNet/NanoCommons ontology meeting https://openrisknet.org/events/45/ https://tess.elixir-europe.org/events/openrisknet-nanocommons-ontology-meeting The goal of this meeting is to get a picture of the ongoing ontology activities in the toxicology area, harmonize these efforts and the developed ontologies therein, and extend the existing toxicology ontology to support OpenRiskNet and NanoCommons tasks. Part of this will be the ontological annotation of OpenRiskNet Application Programming Interfaces (APIs) as used on their cloud. Other goals include extension of the ontology with missing terms (if any), potentially write up guidance documents, and annotation of data sets (possible via OpenRiskNet data APIs). 2018-12-13 13:00:00 UTC 2018-12-14 14:00:00 UTC University of Birmingham office in Brussels, Brussels, Belgium University of Birmingham office in Brussels Brussels Belgium Ontology and terminology Toxicology  NanoCommonsOpenRiskNetH2020  workshops_and_courses  risk assessmentnanosafetydata annotationservice descriptions
Online SPARQL Access to WikiPathways and AOP-Wiki Webinar
23 March 2021Online SPARQL Access to WikiPathways and AOP-Wiki Webinar https://infrastructure.nanocommons.eu/events/48/online-sparql-access-to-wikipathway-and-aop-wiki-webinar/ https://tess.elixir-europe.org/events/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 www.nanocommons.eu register for online participation: https://attendee.gotowebinar.com/register/1429123637065255181 register for online participation: https://attendee.gotowebinar.com/register/1429123637065255181  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 2021Online QSAR Modelling Hackathon by Easy Access to Jaqpot https://infrastructure.nanocommons.eu/events/49/online-qsar-modelling-hackathon-by-easy-access-to-jaqpot-deploy-your-model-as-a-web-service-in-a-few-minutes/ https://tess.elixir-europe.org/events/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: https://attendee.gotowebinar.com/register/2411963887345622287 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 www.nanocommons.eu  EU H2020 NanoCommons mixed audience workshops_and_courses  nanosafetynanoinformaticstoxicologydata FAIRness
Online MIE Prediction Tool Webinar
18 May 2021Online MIE Prediction Tool Webinar https://infrastructure.nanocommons.eu/events/50/online-mie-prediction-tool-webinar/ https://tess.elixir-europe.org/events/online-mie-prediction-tool-webinar On Tuesday, 18th May 2021, the NanoCommons team, in a joint initiative with the NanoSafety Cluster, will offer an online webinar on the use of their Molecular Initiating Event (MIE) Prediction Tool accessible via the NanoCommons Knowledge Base (NC KB). Introduction and Host: Martin Himly, PLUS and Chair of NanoSafety Cluster WG-A on Education, Training, and Communication Webinar Speaker: Abhijit Dasgupta, UCD Panel for Q+A session: Vadim Zhernovkov and Vladimir Lobaskin, UCD Toxicity testing and regulation of advanced materials at the nanoscale i.e., nano safety, is challenged by the growing number of nanomaterials. The existing animal-reliant toxicity testing tools are onerous in terms of time and resources. There is a need for faster, cheaper, sensitive and effective animal alternatives that are supported by mechanistic evidence. Moreover, there is an urgency for developing alternative testing strategies. The Adverse Outcome Pathway (AOP)-based approaches provide pragmatic insights to promote the development of alternative testing strategies. MIE is the first step in an AOP and can be considered as a chemical interaction between a chemical toxicant and a biological molecule. Key chemical characteristics can be identified and used to model the chemistry of these MIEs. Predicting actual MIEs without time-resolved data establishing the MIE is challenging. Risk assessment requires information on the exposure conditions (e.g., route, dose, duration and frequency) needed to cause an AO. The NanoCommons MIE gene set database (NanoCommons GS-MIE DB) captures: Gene signatures (GS) of MIEs by integrating knowledge from KEGG, REACTOME, GO, WikiPathways public databases; Custom gene sets from published data; To date, manual collection of 132 gene sets representing three different types of MIE actions: MIE1. Disruption of lung surfactant functionality MIE2. Lysosomal destabilization MIE3. Oxidation of cell membrane The expected duration is 60 minutes with time for Q&A session in the end. Target audience: Bench and computational scientists looking into automated ways to enrich the knowledge obtained from their datasets by predicting MIEs for AOP-based toxicity assessment. Expectation: Willing to learn new things and active participation in the interactive webinar. The webinar will take place on Tuesday, May 18th, from 15:00 till 16:00h CEST. Feel free to join and please do not forget to register here: https://attendee.gotowebinar.com/register/6523350125940482062 You can find more information about the webinar here. After registering, you will receive a confirmation email containing information about joining the webinar. 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 an insight into in silico tools offered by the NanoCommons Knowledge Base in an integrated and thus more straightforward way. The NanoCommons team will be happy to answer your questions and to guide you in your requests! 2021-05-18 15:00:00 UTC 2021-05-18 17:00:00 UTC www.nanocommons.eu  EU H2020 NanoCommons mixed audience workshops_and_courses  nanosafetydata FAIRnessnanoinformaticstoxicology
Note, this map only displays events that have geolocation information in TeSS.
For the complete list of events in TeSS, click the grid tab.