Reproducible R with Git
About this Class
The programming language R is ideal for biomedical researchers as it has packages that facilitate Next Generation Sequencing (NGS) data analysis. For example, bulk RNA sequencing differential expression analysis can be performed with DESeq2 and Seurat is used for analyzing single cell RNA sequencing data. When programming, scientists are encouraged to keep track of versions using tools such as Git (https://git-scm.com). Git is a software that saves the history of code, which enables scientists to track and revert changes. This Coding Club will introduce participants to versioning using Git inside of R Studio, a graphical interface for working with R. Essential steps in versioning code such as setting up Git in R Studio, tracking code history, reverting to previous versions, and sharing code on GitHub will be covered. After this class, participants will appreciate the convenience of versioning using Git within R Studio and start to apply materials learned to track changes in their own R scripts. This class is a demo and not hands-on. Attendance is restricted to NIH staff.
Register at: https://cbiit.webex.com/weblink/register/r2db7aaaad07c6fc543057da626f9d50a