🦠 We're an NSF-funded collaboration working to predict viral ecology, evolution, and emergence. Our research often uses network science and machine learning to analyze and predict complex systems, especially host-virus networks.
💻 Read more on our website, where you can also download all of our publications as PDFs (even if they're paywalled somewhere else).
👩💻 Code for several ongoing and published projects is available here.
🔢 You can also access datasets, like
- VIRION, a database of host-virus interactions
- CLOVER, the hand-curated backbone of VIRION (which includes non-viral pathogens)
- datacov, a database of nearly 100,000 samples tested for bat coronaviruses since 1996
- the insectDisease R interface to the Ecological Database of the World's Insect Pathogens.
✍️ There's also templates for sharing your own data, including for
- vector competence experiments
- wildlife disease surveillance (and check out the wddsWizard R package!)