Content Providers
Keywords: Teaching or eLearning or EeLP or Education or EXCELERATE or open educational resorce or Data Policies or Data sharing
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ELIXIR Slovenia
Slovenian national ELIXIR node
5 training materials0 events (19 past events)ELIXIR Slovenia https://elixir.mf.uni-lj.si https://86.50.228.192/content_providers/elixir-slovenia Slovenian national ELIXIR node /system/content_providers/images/000/000/103/original/ELIXIR_SLOVENIA_white_background.png?1544083070 -
ELIXIR-SI eLearning Platform (EeLP)
ELIXIR-SI eLearning Platform (EeLP) is a learning management system (LMS) continuously administered and maintained by ELIXIR Slovenia.
EeLP enables all-in-one-place access to materials, tools and services for any course, tutorial or webinar that is hosted on the platform.
6 training materials0 events (8 past events)ELIXIR-SI eLearning Platform (EeLP) https://elixir.mf.uni-lj.si/ https://86.50.228.192/content_providers/elixir-si-elearning-platfrom-eelp ELIXIR-SI eLearning Platform (EeLP) is a learning management system (LMS) continuously administered and maintained by ELIXIR Slovenia. EeLP enables all-in-one-place access to materials, tools and services for any course, tutorial or webinar that is hosted on the platform. /system/content_providers/images/000/000/108/original/eelp-logo-with-slogan.jpg?1544007788 -
COG-Train
COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2 genomics. It aims to facilitate an increase in global genome sequencing and analysis capacity, reduce sequencing inequality and enhance pathogen surveillance.
The programme’s training courses and...
4 training materialsCOG-Train https://www.cogconsortium.uk/priority-areas/training/ https://tess.elixir-europe.org/content_providers/cog-train COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2 genomics. It aims to facilitate an increase in global genome sequencing and analysis capacity, reduce sequencing inequality and enhance pathogen surveillance. The programme’s training courses and development are built around our core concept of partnering with international researchers, public health experts and surveillance networks and providing open-access FREE training for all. COG-Train is funded by Wellcome Trust and the Foreign, Commonwealth & Development Office and led jointly by COVID-19 Genomics UK (COG-UK) consortium and Wellcome Connecting Science (WCS). Whole Viral Genome sequencing is an essential tool to identify and track the emergence and spread of SARS-CoV-2 variants as the COVID-19 pandemic progresses. Sequence data informs public health interventions and the further development of diagnostics, therapeutics and vaccines. There is inequity of access to pathogen sequencing worldwide, and COG-Train is committed to contributing towards efforts that close this gap. By building global partnerships with sequencing networks and scientists around the world, we hope to build a truly inclusive training programme that shares the many challenges faced in sequencing efforts, as well as highlighting the numerous success stories, and facilitating knowledge sharing. Outputs include a series of massive online, open-access courses on all aspects of SARS-CoV-2 sequencing based on WCS’s successful use of the FutureLearn platform, as well as week-long intensive virtual training courses, short expert workshops and concurrent distributed Classrooms, the latter of which utilises blended training. The distributed classroom model will be used to increase reach and impact of the learning materials, with training being delivered simultaneously in multiple classrooms across many countries. The training programme includes train-the-trainer components to help further build capacity in-country, rather than rely on a one-hit train and leave model. The COG-Train educational programme builds on the COG-UK values of data sharing, open collaboration, value for money, inclusivity and the prioritisation of public health impact. /system/content_providers/images/000/000/644/original/COG-Train_Logo.png?1657104279 -
University of Ljubljana, Faculty of Medicine
Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences.
University of Ljubljana, Faculty of Medicine https://www.mf.uni-lj.si/en https://tess.elixir-europe.org/content_providers/university-of-ljubljana-faculty-of-medicine Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences. /system/content_providers/images/000/000/104/original/mf-znal.png?1539848321 -
Workflow4metabolomics
In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing,...
Workflow4metabolomics https://workflow4metabolomics.org https://tess.elixir-europe.org/content_providers/workflow4metaolomics In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing, normalization, quality control, statistical analysis (Univariate, Multivariate PLS/OPLS) and annotation steps. Those modular and extensible workflows are composed with existing components (XCMS and CAMERA packages, etc.) but also a whole suite of complementary homemade tools. This implementation is accessible through a web interface, which guarantees the parameters completeness. The advanced features of Galaxy have made possible the integration of components from different sources and of different types. Thus, an extensible Virtual Research Environment (VRE) is offered to metabolomics communities (platforms, end users, etc.), and enables preconfigured workflows sharing for new users, but also experts in the field. /system/content_providers/images/000/000/659/original/17082156.png?1667905557