New Research Tools
New research tools are key to tackling the complexity of the exposome. Here is a short and evolving list of resources for researchers interested in exposome approaches.
- A Brief Background on the Exposome
- International Exposome Research Projects
- NIEHS Exposure Science and the Exposome Webinar Series
- Technical Papers on Environmental-wide Association Studies (EWAS)
- How To Video: Principal Components Analysis in R Part 1
- How To Video: Principal Components Analysis in R Part 2
- Basic File Management and Data Input in R
- Other R introductory resources from Emory
- Steve Pittard’s Data Science Resource Wiki
- List of online data science educational resources.
- Open Data Sets: Sources of public datasets that might be useful to teachers, students, and autodidacts interested in analyzing “real” data in a ML/Data Science, image detection, recommendation systems, context or just to illustrate some basic statistics concepts.
- Virtualization and Dockers: An introduction to using Virtualization and Containers in Data Science (select lectures from INFO 550 in Biostatistics and Bioinformatics).
- Report Writing For Data Science in R: Roger Peng’s Leanpub that discusses fundamental concepts and tools behind reporting modern data analyses in a reproducible manner.
- Data Journalism: A mostly non-technical resource to orient new comers to Data Science for thinking about data-driven projects.