This course was created from the AnVIL Template, which is based on the OTTR Template
You can see the rendered course material here
This activity guides students through exploration of the BioDIGS soil data using the tidyverse in R. Students will learn basic data summarization and visualization skills. It is a companion training guide for BioDIGS, a GDSCN project that brings a research experience into the classroom. Visit the BioDIGS (BioDiversity and Informatics for Genomics Scholars) website here for more information about this collaborative, distributed research project, including how you can get involved!
The GDSCN (Genomics Data Science Community Network) is a consortium of educators who aim to create a world where researchers, educators, and students from diverse backgrounds are able to fully participate in genomic data science research. You can find more information about its mission and initiatives here.
The activities in this guide are written for undergraduate students and beginning graduate students. Some sections require basic understanding of the R programming language, which is indicated at the beginning of the chapter.
The activities in this guide are demonstrated on NHGRI's AnVIL cloud computing platform. AnVIL is the preferred computing platform for the GDSCN. However, all of these activities can be done using your personal installation of R or using the online Galaxy portal.
The data generated by the BioDIGS project is available as an R package (BioDIGSData, https://github.com/fhdsl/BioDIGSData), through the BioDIGS website, or through an AnVIL workspace.
Data about the soil itself as well as soil metal content was generated by the Delaware Soil Testing Program at the University of Delaware. Sequences were generated by the Johns Hopkins University Genetic Resources Core Facility and by PacBio.
If you are encountering any problems with this course, please file a GitHub issue or contact Ava Hoffman (ahoffma2 at fredhutch.org) or Elizabeth Humphries (ehumphri at fredhutch.org).
All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.
