This repository contains original teaching materials created by Maggie Wagner and Camille Delavaux for the University of Kansas course BIOL701: "Microbiomes from Data to Insight" in spring 2020. We hope these materials will be a useful resource. Feel free to share, re-use, or adapt the slides for educational purposes. See the "Citation" tab to the right for information on attribution. **Course Goals:** Students will be able to: - Develop workflows and pipelines for analyzing amplicon data • - Process raw sequence data using bioinformatical tools on the command line - Access and use a high-performance computing cluster - Use R to perform statistical analyses and answer biological questions - Understand how experimental design and analytical choices may affect results - Critically interpret microbiome studies and their conclusions in light of methodological strengths and limitations **Prerequisites:** This course assumes a working knowledge of biostatistics (e.g. successful completion of BIOL841-Biometry I) and basic skills in Linux and R. Students should be able to complete the coding tutorials recommended in the "Tutorials and Useful References" component prior to the course.