Investigating evolutionary relationships through cluster analysis: A teaching science with big data workshop session.

Walter R P Novak

Published in: Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology (2022)

Biochemistry is a data-heavy discipline, yet teaching students to work with large datasets is absent from many undergraduate Biochemistry programs. Ensuring that future generations of students arevbv confident in tackling problems using big data first requires that educators become comfortable teaching big data skills. The activity described herein introduces educators to working with big data and a framework for generating sequence similarity networks using JupyterLab and Python. This article reports a session from the virtual international 2021 IUBMB/ASBMB workshop, "Teaching Science with Big Data."

Keyphrases

big data
medical students
artificial intelligence
machine learning
public health
medical education
high intensity
mental health
emergency department
gene expression
electronic health record
rna seq
amino acid