Data Science in Biology

⊕ Instructor
Mike Hallett
TBA
Office Hours TBA
hallett.mike.t@gmail.com
@hallettmichael

Course
TBA
TBA2022
TBA
Zoom
Slack
Github repo
Lectures
RStudio Cloud

Labs
TBA
TBA
TBA
Zoom
Office Hourse: TBA


This site contains a description of the course material and the course structure of Bioinformatics: Data science for the life sciences at Western University.

By the end of this course, you will have:

• fluency with many bioinformatics tools in the context of molecular evolution, genomic organization, ecological systems, cell biology, and human health related challenges;

• important data science skills that will give you the ability to explore biological datasets;

• solid programming skills primarily with R, RStudio Cloud and the tidyverse, or if you choose, with Python or Julia;

• the capacity to create rich, meaningful and interactive visualizations of data;

• insight into the many current issues including reproducibility in basic life sciencs and health research;

• a solid understanding of machine learning including deep networks.

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Figure. Single cell reconstruction of developmental trajectories during zebrafish embryo. Farrell et al. (2018) Science