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AnVIL_Template
Public templateAnVIL_CoFests_2025
Public- This course covers the basics of creating documentation and tutorials to maximize the usability of informatics tools. It is meant for individuals developing tools for informatics.
- This course is designed to help investigators understand more about computing basics, as well as familiarize researchers with various computing platform options.
- This course introduces more advanced tools to increase the reproducibility of data analyses; building upon the Intro to Reproducibility course. GitHub, Docker, Code Review, and GitHub actions are discussed.
- This course introduces the concepts of reproducibility and replicability in the context of cancer informatics. It is the first course in a two part course on reproducibility. It uses hands-on exercises to demonstrate in practical terms how to increase the reproducibility of data analyses.
- This course covers the pitfalls of informatics research and discusses best practices and tools to overcome the challenges of working with and managing multidisciplinary teams. It also covers guidelines to promote diversity and inclusion in your lab and research.
template-test
PublicAnVIL_Book_WDL
PublicAnVIL_CoFests_2024
Public- A semester-long course on the basics of molecular phylogenetic techniques
AnVIL_Book_Champions
Publicmscstts
Public- Baltimore Community Data Science Course at JHSPH through partnership with SOURCE
intro_to_r
PublicA 2-week introduction to R programming course, with a focus on public health datasetsITN_computing_resources
PublicGDSCN_Book_swirl
PublicGDSCN_Template_Test
Public