The consortium encompasses computing capabilities from some of the most powerful and advanced computers in the world. It is possible to request allocations of up to 6 months.
ELIXIR nodes have made available a broad variety of computing resources.
Publicly accessible infrastructure and workflows for SARS-CoV-2 data analyses from different scientific domains (genomics, proteomics, metabolomics, cheminformatics…).
PRACE provides access to world-class high performance computing resources for researchers from academia and industry. PRACE has a fast review track for project proposals requesting computing resources to contribute to the mitigation of the impact of the COVID-19 pandemic.
ETAIS is a national research infrastructure that makes large-scale, high-performance computing resources, storage capacity and versatile user support available to Estonian researchers.
See Text and Literature.
US clinical trials register.
Official database of clinical trials within the EU.
Map of clinical trials related to COVID-19 world wide.
WHO database of clinical trials. See also https://apps.who.int/trialsearch/.
Clinical data and patient registries
Anonymous register with COVID-19 patient data from over 200 hospitals.
COVID-19 Registry for Hematology.
Coronavirus (COVID-19) in liver disease reporting registry.
COVID-19 patients on ECMO.
ECMO use in adult COVID-19 patients in Europe.
COVID-10 Intubation registry.
Psoriasis Registry for Outcomes, Therapy and Epidemiology of COVID-19 Infection.
Reporting Registry for COVID-19 in liver disease.
COVID-19 and Inflammatory Bowel Disease (IBD) Reporting Registry.
COVID-19 and Sickle Cell Disease Registry.
Registers with data provided by providers and patients.
Register of current ICU and hospital care patients in the world.
Epidemiology and mobility data
COVID-19 mobility data from Apple Maps.
Training and testing data for a weekly competition in forecasting COVID-19 cases and fatalities.
Reports on worldwide COVID-19 cases.
Evolution and worldwide distribution of SARS-CoV-2 genotypes.
COVID-19 mobility data from Google Maps.
Predictions for cases, tests, deaths and required hospital resources.
Worldwide COVID-19 statistics.
This dataset is a curated collection of over 200 publicly available COVID-19 datasets from sources like Johns Hopkins, the WHO, the World Bank, the New York Times, and many others. It includes data on a wide variety of potentially powerful statistics and indicators, like local and national infection rates, global social distancing policies, geospatial data on movement of people, and more. The data comes with a Kaggle competition hosted by the Roche Data Science Coalition (RDSC) which comprises number of tasks developed and evaluated by global frontline healthcare providers, hospitals, suppliers, and policy makers.
Variants of interest and concern in the EU/EEA
Database of non-pharmaceutical interventions (NPIs) introduced by 30 countries in the European Union (EU) and European Economic Area (EEA) since 1 January 2020 in response to the COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Confirmed cases, deaths, vaccine doses administered.
The R-based tool epitweetr allows users to automatically monitor trends of tweets by time, place and topic, with the aim of detecting health threats early through signals, such as an unusual increase in the number of tweets. It was designed to support public health experts with the early detection of threats from infectious diseases but can be extended to all hazards and other fields of study by modifying the topics and keywords. GitHub repository.
Structure predictions for COVID-19-related proteins from AlphaFold.
Results from a large crystallographic fragment screen against the SARS-CoV-2 main protease (MPro, PDB ID: 6YB7) conducted by XChem at the Diamond Light Source.
Tools and other resources
Artificial intelligence models
A BERT base model fine-tuned on COVID-19-related texts for natural language processing.
Swedish BERT and ALBERT models for natural language processing.
Swedish BERT models for natural language processing.
Other COVID-19 tools
Repository for cell-specific expression data.
The COVID-19 Disease Map is an assembly of molecular interaction diagrams, established based on literature evidence. The focus is on host-pathogen interactions specific to the SARS-CoV-2 virus.
Social, behavioral, and health sciences research data.
BIAFLOWS is an open-source web platform to benchmark and reproducibly deploy Bio Image Analysis (BIA) workflows.
BISE is a search engine for tools, training materials and data for bioimage analysis.
ImJoy is a plugin powered hybrid computing platform for deploying deep learning applications such as advanced image analysis tools.
scispaCy is a Python package containing spaCy models for processing medical text.
spacy is a natural language processing library which integrates deep learning models for a variety of text analysis tasks.
Discussion groups, online workshops, networks
A platform that connects COVID-19 researchers with expert volunteers from various domains.
A forum that connects clinicians, virologists, immunologists with machine learners, bioinformaticians, epidemiologists and statisticians. For posting questions and finding collaborations.
This series of online workshops presents projects on how to tackle COVID-19 using methods of machine learning and AI, carried out by leading international researchers. Research topics include outbreak prediction, epidemiological modelling, drug development, viral and host genome sequencing, and health care management. Meetings can be attended by live streaming or watched as recordings.
The forum’s focus is software-oriented aspects of scientific imaging, particularly (but not limited to) image analysis, processing, acquisition, storage, and management of digital scientific images. It is the primary discussion forum of the bioimaging community.
NEUBIAS is a network of bioimage analysts in Europe, aiming at strengthening the bridge between life science, computer science and digital image processing. It also offers many training activities including online workshops and a YouTube channel.
Training and teaching resources
List of training resources related to data science and artificial intelligence curated by the Cell Death, Lysosomes and Artificial Intelligence Group at Lund University.
Recordings from workshops presenting different AI projects related to COVID-19.
Collection of tutorials developed and maintained by the worldwide Galaxy community.
Videos related to bioimage analysis.
Link lists with COVID-19 projects and resources
List of COVID-19 resources curated by the Cell Death, Lysosomes and Artificial Intelligence Group at Lund University.
A list of data, services and other resources compiled by the data-against-covid.org community.
Secondary data and statistics sources for COVID-19 researchers compiled by the CDC.
A global collection of Open Source projects related to COVID-19.
A list of resources compiled to support participants of the COVID-19 Biohackathon.
A curated list of open funding calls and other support for researchers, non-profit organizations and commercial organizations, specifically for COVID-19 research.