Enzyme kinetics is a challenging concept for students to visualize. Substrate binding to the active site of an enzyme involves multiple weak interactions between the R-groups of the amino acids and the substrate. These weak interactions increase the binding energy, lower the energy of activation, and prevents side reactions. The mechanism used by enzymes to [...]
In this twelve-part series, students will use an assortment of statistical tools and methods to analyze data from public databases or their own data from other projects. Each lesson is one hour long so that students can either complete one each week for a semester or multiple in a single day if preferred. The lessons [...]
Students will learn popular AI/Machine Learning (ML) methods and data science skills through hands-on projects using open-source analytical tools and pre-processed real-world public datasets. There are three single-session classroom activities, which can be used standalone or as a series. These activities are designed in three levels. Activity levels 1 and 2 focus on the most [...]
R is one of the most commonly used programming languages in the biological sciences. In this module, students will use the ggplot package with R studio to visualize biological data with no past coding experience needed. Learning Objectives Students will download R Studio and the ggplot package on a local computer. Students will learn to [...]
‘Omics (genomics, proteomics, transcriptomics, etc.) are among the fastest changing sciences and are increasingly important to virtually every discipline in biology. Understanding what ‘omics data is and how it is used is becoming necessary for a wide range of biologists. In this module, students will take their first steps into this field, they will even [...]
