BIOL 1007
Reproducible Biology in R
Reproducible Biology in R
Reproducibility is essential at all stages of research and allows for the validation and replication of science, enhancing collaborations and connectivity. The open-source nature of R programming and its ability to analyze and visualize datasets make it a powerful tool in biology. In this course, we will learn the basics of reproducible coding in R and RStudio (no prior knowledge required). Primarily, we will cover: 1) Data structures and creating publication-quality figures; 2) How to ask and answer scientific questions using basic statistics; 3) Creating shareable documents using Rmarkdown; and 4) Reproducibility using GitHub, shell commands, and LaTeX - all within RStudio. Each week will involve a combination of structured lecture, group work, and coding exercises. (Requires BIOL 140 or BIOL 145).
Reproducibility is essential at all stages of research and allows for the validation and replication of science, enhancing collaborations and connectivity. The open-source nature of R programming and its ability to analyze and visualize datasets make it a powerful tool in biology. In this course, we will learn the basics of reproducible coding in R and RStudio (no prior knowledge required). Primarily, we will cover: 1) Data structures and creating publication-quality figures; 2) How to ask and answer scientific questions using basic statistics; 3) Creating shareable documents using Rmarkdown; and 4) Reproducibility using GitHub, shell commands, and LaTeX - all within RStudio. Each week will involve a combination of structured lecture, group work, and coding exercises. (Requires BIOL 140 or BIOL 145).