Introduction to Python I:
This module introduces programming concepts, driven by examples of biological data analysis, in the Python programming language. Topics covered will include variables and data types (including strings, integers and floats, dictionaries and lists), control flow (loops, conditionals, and
some boolean logic), variable scope and its proper use, basic usage of regular expressions, functions, file input and output, and interacting
with the larger Unix/Linux environment.

Introduction to Python II:
Part II expands on basic programming and explores using ‘objects’ (and their blueprints: classes) in encapsulating functionality into easily used blocks of code that more closely match the biological concepts at hand. Other topics include APIs, syntactic sugar, and creating and using packages such as BioPython.

January 4 – March 12

Monday/Wednesday 2:00-2:50 PM, BDS 599 (CRN:38557 and 38558) or as a workshop
Instructor: Matthew Peterson,
for more information, email the instructor or visit:


Gain practical experience with, 16s rRNA amplicon sequencing and shotgun metagenomics. No command line / R-studio experience required! Starting with raw FASTQ files, learn how to 1) profile rRNA sequences and 2) determine the taxonomy and functional composition of metagenomics samples!

January 4 – March 12

Tuesday/Thursday 10:00-10:50 AM, BDS 599 (CRN 38546) or as a workshop
Instructor: Andrew Black,
For more information, email the instructor or visit:

NOVEMBER 12, 2020

Photo courtesy of The Corvallis Advocate

From The Corvallis Advocate: “Oregon State University brought its TRACE Community COVID-19 testing program to Eugene, sending three-member teams – one OSU student, one UO student and one professional –to city neighborhoods to collect nasal-swab samples from hundreds of residents and sewage samples from around Eugene and Springfield. This will further expand TRACE’s coverage, which includes five similar sweeps in Corvallis, as well as some study in Bend, Hermiston and Newport. TRACE will be working in tandem with UO’s Monitoring and Assessment Program (MAP).” See the full article for more information.