Teaching genomics to life science undergraduates using cloud computing platforms with open datasets.

ABSTRACT: The final year of a biochemistry degree is usually a time to experience research. However, laboratory-based research projects were not possible during COVID-19. Instead, we used open datasets to provide computational research projects in metagenomics to biochemistry undergraduates (80 students with limited computing experience). We aimed to give the students a chance to explore any dataset, rather than use a small number of artificial datasets (~60 published datasets were used). To achieve this, we utilized Google Colaboratory (Colab), a virtual computing environment. Colab was used as a framework to retrieve raw sequencing data (analyzed with QIIME2) and generate visualizations. Setting up the environment requires no prior experience; all students have the same drive structure and noteboo

SUBMITTER: Poolman TM 

PROVIDER: S-EPMC9804627 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature