title | layout |
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CMDB Quantitative Biology 2024 |
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Prep Work:
R chapters to read before class:
- 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, Carnegie Rose Auditorium
- Please arrive by 8:45am ET
- Lunch and an afternoon snack will be provided
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 - 9:30 | Welcome | Small Groups | Small Groups | Small Groups |
9:30 - 11:00 | Unix, git, R | Explore text files w/ Unix | Python Indexing, Arrays | Linear Regression |
11:00 - 12:00 | Exercise | Exercise | Exercise | Exercise |
12:00 - 1:00 | Lunch | Lunch | Lunch | Lunch |
1:00 - 1:30 | Small Groups | Small Groups | Small Groups | Small Groups |
1:30 - 3:00 | Plotting w/ ggplot2 | Parsing files w/ Python | Python Dictionaries | Multiple testing, power analysis |
3:00 - 3:15 | Break | Break | Break | Break |
3:15 - 5:15 | Exercise | Exercise | Exercise | Exercise |
- Syllabus
- 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, Carnegie Rose Auditorium
- 10:00 - 12:30 pm, Fridays
- Assignments must be submitted within one week to your
qbb2024-answers
repository
Week | Date | Instructor | Topic | Resubmission Deadline |
---|---|---|---|---|
1 | 9/13 | Mike Schatz | Genome assembly | 10/4 |
2 | 9/20 | Mike Sauria | Genome Content | 10/13 |
3 | 9/27 | Rajiv McCoy | Variant discovery and genotyping | 10/20 |
4 | 10/4 | Frederick Tan | Project Work + HPC Demo | N/A |
5 | 10/11 | Mike Sauria | Bulk RNA-seq, PCA, & Clustering | 11/01 |
6 | 10/18 | N/A | Departmental Retreat | N/A |
7 | 10/25 | Rajiv McCoy | Bulk RNA-seq, PCA, & Clustering | 11/15 |
8 | 11/1 | Frederick Tan | Single cell RNA-seq Analysis with Bioconductor | 11/22 |
9 | 11/8 | Frederick Tan | Project Work + Notebooks Demo | N/A |
10 | 11/15 | Mike Sauria | Image processing | 12/02 |
11 | 11/22 | Frederick Tan | Image Classification | 12/13 |
{:.table.table-striped.well} |
- See Project Work Guide for deadlines and deliverables
- Matplotlib
- Statsmodels
- e.g. ttest
- NumPy
- Pandas
- e.g. read_csv -->