Coronavirus Network Explorer – insights into the predicted biological mechanisms driving a pandemic
In this talk, Jeff Green walks you through the artificial intelligence (AI)/machine learning (ML)-enabled Coronavirus Network Explorer built from the QIAGEN Knowledge Base.
The Coronavirus Network Explorer is available at no cost. Our data scientists have expanded upon recent peer-reviewed research to generate relevant SARS-CoV-2 protein networks using the QIAGEN Knowledge Base as well as artificial intelligence. This freely available tool helps you visualize how SARS-CoV-2 proteins interact with human host proteins to disable protective responses and pathways, and explore hypotheses around how to fight coronavirus. The Coronavirus Network Explorer supports and accelerates your research by helping you gain a deeper understanding of how SARS-CoV-2 affects the host and behaves biologically.
The Coronavirus Network Explorer is available at no cost. Our data scientists have expanded upon recent peer-reviewed research to generate relevant SARS-CoV-2 protein networks using the QIAGEN Knowledge Base as well as artificial intelligence. This freely available tool helps you visualize how SARS-CoV-2 proteins interact with human host proteins to disable protective responses and pathways, and explore hypotheses around how to fight coronavirus. The Coronavirus Network Explorer supports and accelerates your research by helping you gain a deeper understanding of how SARS-CoV-2 affects the host and behaves biologically.
About the speaker
Jeff Green,
Categories
Biomedical Research
Bioinformatics
Next Generation Sequencing
Infectious Disease