Students will learn the fundamental aspects of computational biology, including basic skills needed for computational biology, where the field came from, and where we believe the field is heading.

There is no homework, but feel free to check out the course reading after completing the seminar: 
https://www.amazon.com/Introduction-Bioinformatics-Algorithms-Computational-Molecular/dp/0262101068

Also, students are free to continue solving bioinformatics problems on the Rosalind platform (http://rosalind.info/problems/list-view/) at their own pace either on their own or through my multi-week bioinformatics course.

Student answers to bioinformatics problems are automatically checked through the Rosalind learning platform, and I will assist students in solving the bioinformatics problems on Rosalind (but still let them discover the solutions with their own intuition).

1 hour 30 minutes per week in class, and maybe some time outside of class.

For those interested, here is a great timeline on the history of genomic sequencing: https://www.nature.com/immersive/d42859-020-00099-0/index.html

Link to my prior research: https://drops.dagstuhl.de/opus/volltexte/2017/7648/

Useful resources to learn more about genetics and field of bioinformatics:
(https://www.nature.com/articles/d41586-021-00019-w)
(https://www.npr.org/sections/health-shots/2021/04/28/991474676/25-down-and-71-632-to-go-scientists-seek-genomes-of-all-critters-with-a-backbone)
(https://spectrum.ieee.org/biomedical/devices/the-dna-data-deluge)
(https://www.genome.gov/about-genomics/fact-sheets/DNA-Sequencing-Costs-Data)