Code and Data
- Microbial Genes!
We study the heterogeneity of microbial genetics, with a particular emphasis on how microbes and their genes influence their environment, and through that, human health. With this resource, our goal is to expand the current understanding of variation and function in microbial sequence diversity around the world.
Data and Tools
- Claims Analysis of Twins Correlation and Heritability
We estimate the relative contribution of genetics and shared environment in 560 phenotypes in a large health insurance cohort consistenting of ~60,000 twins and ~500,000 siblings.
- Vibration of Effects
How do inferences change based on the parameters of statistical models? Estimate the distribution of association sizes, and p-values based on model selection, called the Vibration of Effects (VoE).
- Aether: A scalable for cost-efficient cloud computing for (meta)genomics
GitHub | Paper
- HIV+ Prediction in Zambia
A data-driven approach to identify risk factors for HIV+ in Zambia.
GitHub | Preprint Paper
A standard database for drug repositioning.
GitHub | Paper
- Exposome Course Materials
Course materials and starter code for exposome-phenome data analysis.
- Exposure Globe Browser
View how biomarkers of exposures are correlated with one another and disease-related phenotypes.
Github | Paper
For more code and data, check out our GitHub page.
Presentations, Webcasts, and Blog Posts
The exposome: Decoding human health and disease
TEDx San Francisco, 2019
Your risk of dementia: Do lifestyle and genetics matter?
Harvard Health Publishing, September 2019
Data Science and Machine Learning in Public Health: Promises and Challenges
US Centers for Disease Control and Prevention, Office of Public Health Genomics, September 2019
From Molecules to Public Health: Impact of Big Data on Medicine
Kavli Frontiers of Science, Indo-American Summit (8/2015)
Big Data and the Exposome: EWAS toward a comprehensive view of health (begins at 9:00)
ToxCast Data Summit, Environmental Protection Agency (9/30/14)
Environment-wide Association Studies for a more complete view of health and disease
Harvard School of Public Health, Department of Epidemiology (2/5/14)
Environment-wide Association Studies and predictive health
Emory Rollins School of Public Health (10/9/2012)
Archived talk slides on SlideShare.