Programme: Covid-19 disease map - Bioinformatics analysis and computational modelling
SEEK ID: https://fairdomhub.org/projects/226
Public web page: Not specified
Organisms: Homo sapiens, Severe acute respiratory syndrome coronavirus 2
FAIRDOM PALs: No PALs for this Project
Project start date: 1st May 2020
Related items
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis
Institutions: University of Nebraska-Lincoln
Expertise: Modeling
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis, Boolean modeling of Parkinson disease map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg
https://orcid.org/0000-0001-7403-181XExpertise: Machine Learning, Deep Learning, Modeling, Medical microbiology, Molecular Biology
Tools: Python, R, Matlab, Javascript, SBML, Dynamic modelling, microbiology techniques, Shell scripting
I am an Associate Professor of Computational Systems Biology, at Univ Evry, University of Paris-Saclay. My research focuses on the application of computational systems biology approaches in human diseases, including the construction of disease maps, tool development for model inference, network integration and dynamical modelling.
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis
Institutions: University of Nebraska-Lincoln
https://orcid.org/0000-0001-7528-3568Expertise: Computational modelling, Data analysis, Data Integration
Tools: R, Matlab, Cell designer, Cell Collective, Cytoscape
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis
Institutions: Inria Saclay - Île-de-France, University of Évry Val d'Essonne
https://orcid.org/0000-0001-5525-7418Expertise: Computational Systems Biology
Tools: Petri Nets, constraint programming, model checking, Python, ODE Modelling, Prolog
This page is dedicated to the bioinformatics analysis and computational modelling related to Covid-19 disease map pathways.
Projects: Covid-19 Interferon pathway modelling and analysis
Web page: Not specified
The file describe the methodology of the used algorithm to calculate the sensitivities against knockout and over-expression perturbations. The sensitivity values were classified in macro values for every perturbation. The bitwise distances were calculated for each biomolecule in the same macro class
Creator: Ahmed Hemedan
Submitter: Ahmed Hemedan
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creator: Sara Sadat AGHAMIRI
Submitter: Sara Sadat AGHAMIRI
Investigations: No Investigations
Studies: No Studies
Assays: No Assays