Note: click on this, and actually read it; it’s part of the
syllabus:
../../ClassGeneral/Syllabus.html
The course will familiarize students with the application of computational methods to the biological sciences broadly, as viewed from both perspectives. We will introduce problems in molecular, structural, morphological, neurological, epidemiological, biomedical, and biodiversity informatics. We will explore principles, algorithms, tools, and software to address those problems.
A grade of “C” or better in both one of Bio Sci 1113 or Bio Sci 1213,
and one of Comp Sci 1570 / 1580 or Comp Sci 1971 / 1981.
Despite these minimal official pre-requisites, intro programming, data
structures, intro biology, and genetics are recommended before
enrolling.
This course can be the culminating course of the Bioinformatics
minor:
https://catalog.mst.edu/undergraduate/degreeprogramsandcourses/bioinformaticsminor/
If you interested the minor, get in touch with me!
Introduction to Applied Bioinformatics - Greg Caporaso
https://readiab.org/introduction.html
Genomes, 2nd edition. Terence A Brown.
https://www.ncbi.nlm.nih.gov/books/NBK21128/
Network Science - Albert-László Barabási
http://networksciencebook.com
Bio-star Handbook (Bio* Handbook) - Istvan Albert
Optional (better for Biologists who would like to learn some practical
tools)
https://www.biostarhandbook.com/
Cost: $25 for student edition
Mostly Python, and a hint of Bash