Data Science in Biology

⊕ Instructor
Mike Hallett
GE120.07
Office TuTh 12-13
hallett.mike.t@gmail.com
@hallettmichael

Course
TuTh
September 8–December 7, 2020
13:15-14:30
Zoom
Slack
Github repo
Lectures
RStudio Cloud

Labs
Aki Kirbizakis
e.kirbizakis@gmail.com
Tu 10:15-11:30
Zoom
Wed 10-11


This site contains a description of the course material and the course structure for BIOL 480 (undergraduate), 510 (genomics diploma), 630 (graduate students) for the Fall 2020 at Concordia 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;

• 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