Discovery and Research User Group Meetings +
May 2020 IPA-OS UGM - 2.Coronavirus Network Explorer - Insight into predicted biological mechanisms driving a pandemic - Jeff Green.mp4
506 views
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.
Related videos
Discovery and Research User Group Meetings +
Use Case - SARS-CoV-2 analysis using CLC Genomics Workbench - CLC Microbial and Public Health...
From the Fall 2020 CLC Microbial and Public Health Genomics User Group...
Discovery and Research User Group Meetings +
IPA UGM FALL 2020 - Identification of Novel Therapeutics for Metastatic Pancreatic Neuroendocrine...
In this video, Dr. Benjamin W Darbro talks about the study they performed at...
Discovery and Research User Group Meetings +
Getting startedwith interpretation: Core analysis for proteomic data
Olivia Alder, Manager, Discovery Field Application Scientists, QIAGEN Digital...