Egon Willighagen
Expertise: Curation, Data Integration
Tools: Not specified
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This Programme is created as a repository for the Virtual Human Platform for Safety Assessment (VHP4Safety) project.
Projects: VHP project
Web page: Not specified
The Disease Maps Project is designed as a large-scale community effort. It is a network of groups that work together in order to better understand disease mechanisms. The project exchanges best practices, share information, develop tools to make it easier for all the involved groups to achieve their goals.
Projects: COVID-19 Disease Map
Web page: https://disease-maps.org
The current project is created as a potential repository for resources resulting from the Virtual Human Platform for Safety Assessment (VHP4Safety) project.
Programme: VHP Programme
Public web page: Not specified
Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.
Programme: Disease Maps
Public web page: http://doi.org/10.17881/covid19-disease-map
In this investigation we aim to develop automatic workflows to analyze COVID19 Omics data to understand and predict the molecular pathways depicting host-virus interaction.
In this study, we developed an automated and reproducible workflow for transcriptomics data analysis using network biology approaches. The analyses are fully automated in R with clusterProfiler and RCy3 to connect to the widely adopted network analysis software Cytoscape including the CyTargetLinker app for network extension. For demonstration, we use a publicly available dataset from Blanco-Melo et al., GSE147507 obtained from GEO. After pre-processing with DESeq2, the dataset contains log2 fold ...
