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.
About the speaker
Jeff Green, IPA Technical Lead
Jeff Green holds a degree from Stanford University and is a software engineer at QIAGEN. He joined QIAGEN 16 years ago through its acquisition of Ingenuity Systems in 2013. Jeff is an integral part of the QIAGEN Ingenuity Pathway Analysis application development team and currently serves as the IPA Technical Lead. Jeff also served on the Project Insights team, which leverages machine learning methods to extend our understanding of biological systems, networks, and pathways.
Date of recording:Friday, March 5, 2021
Duration:30 minutes
Biomedical Research
Next Generation Sequencing
Infectious Disease