CMDB Quantitative Biology Lab 2026

Logistics

  • This one day a week course builds upon the foundations of Quantitative Biology Bootcamp, reinforcing and expanding upon mathematical and computational methods for analysis of biological data.
  • In person, UTL398
  • 9:30 - 12:00 pm, Fridays
  • Assignments must be submitted within one week to your qb26-answers repository

Schedule

Week Date Instructor Topic Due Date Resubmission Deadline
1 9/18 Frederick Tan Genome Content 9/25 10/9
2 9/25 Rajiv McCoy Sequence Alignment + Variant Discovery 10/2 10/16
3 10/2 Rajiv McCoy Linear Regression 10/9  
4 10/9 Frederick Tan Project Work + HPC Demo    
5 10/16 Mike Sauria Unsupervised Learning 10/26 11/6
6 10/23   Departmental Retreat    
7 10/30 Rajiv McCoy Bulk RNA-seq 11/6 11/20
8 11/6 Frederick Tan Single cell RNA-seq 11/13  
9 11/13 Rajiv McCoy Project Work + Bootstrap and Permutation Demo    
10 11/20 Mike Sauria Sequence Search 11/30 12/11
11 11/27   Thanksgiving    
12 12/4 Mike Sauria Genome Assembly 12/14  
13 12/11   Final Presentations    

CMDB Quantitative Biology Bootcamp 2026

Logistics

Prep Work: zero-to-python

  • Syllabus
  • Four day intensive bootcamp to introduce students to fundamentals in quantitative and computational biology
  • NO other classes, meetings, lab work, lab meetings, etc.
  • In person, UTL 289
  • Please arrive by 8:45am ET (although plan to arrive at 8:30am on Tuesday for initial setup)
  • Lunch and an afternoon snack will be provided

Schedule

All times in ET

Resources for each day (links for assignment, any relevant recordings or slides, etc.) will be linked in the schedule below

Time Tuesday Wednesday Thursday Friday
9:00 - 10:00 Welcome Python file IO Review R - data exploration
10:00 - 11:00 Laptop orientation Python dictionaries Git (SWC) R - data exploration
11:00 - 12:00 Python (notebooks) Assignment Git (setup) R - assignment
12:00 - 1:00 Lunch Lunch Lunch Lunch
1:00 - 2:00 Python Assignment cont. Mini project (assembly metrics) R - data visualization
2:00 - 3:00 Python loops Unix Mini project (assembly metrics) R - data visualization
3:00 - 4:00 Assignment (lists, for, if, f(x)) Python scripts Discussion R - assignment
4:00 - 5:00 Discussion Assignment AI Chatbots (HopGPT) Discussion / flex time