CovidGraph is a non-profit collaboration of researchers, software developers, data scientists and medical professionals.
We have built a research and communication platform that encompasses over 40,000 publications, case statistics, genes and functions, molecular data and much more.
Who Is This Project Aimed At?
Our aim is to help researchers quickly and efficiently find their way through COVID-19 datasets and to provide tools that use artificial intelligence, advanced visualization techniques, and intuitive user interfaces. This allows to explore papers, patents, existing treatments and medications around the family of the corona viruses.
In addition to literature data we connected information from fundamental entities in biology - namely genes and proteins and their function - , spanning a network of unparalleled size and knowledge.
Knowledge is primarily centered around the domain of corona-viruses but is steadily extended to other connected diseases.
Become part of this project and help free the world of COVID-19:
Our main aim is to support you and enable your scientific analysis. Please feed us questions that you would like to ask of CovidGraph or take our apps and datasets for a test drive. We are relying on your input to create the applications that help you.
The CovidGraph project depends on data. We are looking for new datasources to enrich our knowledge graph. Any biomedical dataset relevant for COVID-19 research can be included in our database.
We welcome any development help you can offer. We manage our roadmap and development process with GitHub issues. You can find all information about our datasources, technologies and applications as well as guidance how to get started on GitHub.
The CovidGraph project provides a growing number of applications to interact with the data stored in the Knowledge Graph. Please feel free to use these apps free of charge, no registration/sign-up needed.
This application is provided by yWorks and allows you to explore the knowledge data in a visual way.
The Neo4j browser is a user interface for querying the graph directly on database level by pattern matching via Cypher.
It offers a basic visualization of the result graph as well as data export and API access. A public version is available at:
Who we are
We are a diverse team of scientists, developers and data people from academia and industry.
We integrate data from various sources and link them in our knowledge graph:
COVID-19 Open Research Dataset (CORD-19)
In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.https://pages.semanticscholar.org/coronavirus-research
The Lens COVID-19 Datasets
The Lens has assembled free and open datasets of patent documents, scholarly research works metadata and biological sequences from patents, and deposited them in a machine-readable and explorable form.https://about.lens.org/covid-19/
Ensembl Genome Browser
Ensembl is a genome browser for vertebrate genomes that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.http://www.ensembl.org
NCBI Gene Database
Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes, and links to genome-, phenotype-, and locus-specific resources worldwide.https://www.ncbi.nlm.nih.gov/gene
The Gene Ontology Resource
The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. This knowledge is both human-readable and machine-readable, and is a foundation for computational analysis of large-scale molecular biology and genetics experiments in biomedical research.http://geneontology.org
2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE
This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).https://github.com/CSSEGISandData/COVID-19
United Nations World Population Prospects 2019
The 2019 Revision of World Population Prospects is the twenty-sixth round of official United Nations population estimates and projections that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat.https://population.un.org/wpp/