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PSTP Bootcamp 2024

Welcome to the course website for the 2024 PSTP Bioinformatics Bootcamp!

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Course Information

When: April 1-12 ; 3PM-5PM PDT

Where: Stein Building rooms SCRB 247AB and SCRB 344AB

Instructor: Hannah Carter ([email protected])

TAs:
Sherlyn Weng ([email protected])
Alex Monell ([email protected])
Lia Gale ([email protected])

Questions or concerns? Please reach out by email.

Syllabus

Day Date Topic Links Instructors
Week 1 Basics: Tools and environments for bioinformatics
1 04/01/2024 Module 1: Commandline, accessing HPC and running 3rd party tools Day_1 TAs
2 04/02/2024 Module 2: Jupyter Notebooks / Basic coding and visualization Day_2 TAs
3 04/03/2024 Module 3: Coding and analysis with GPT Day_3 TAs
Week 2 Resources and Advanced Workflows: Introduction to campus resources for computational research
4 04/08/2024 Module 4: Intro to SDSC / Cloud Computing Day_6 Subhashini Sivagnanam / Cyd Burroughs Schilling
5 04/09/2024 Module 5: NDex and Cytoscape / AllofUs Workbench Day_7 Dexter Pratt / Sally Baxter
6 04/10/2024 Module 6: Center for Computational Biology and Bioinformatics Day_8 Brin Rosenthal
7 04/11/2024 Module 7: Gene Pattern and the Integrative Genomics Viewer Day_9 Michael Reich

Extra time will be used for the submitted projects.

Bioinformatics Resources

Online resources:

Biology Meets Programming: Bioinformatics for Beginners
Bioinformatics Algorithms: An Active Learning Approach (YouTube)

Recommended UCSD Courses:

BIOM262 Quantitative Methods/Genetics - Several notebooks were taken/adapted from this course and I recommend it if you want an introduction to bioinformatics methods.
CSE284 Personal Genomics/Bioinformatics - This is an invaluable course (focusing on personal genomics) that blends theory and application seamlessly. Information from this course also made its way into bootcamp.
CSE258 Recommender Systems & Web Mining - This course is focused on machine learning applications (primarily in Python), while also providing some introductory theory. This is a great course to get your feet wet in the ocean of ML.
BNFO286 Network Biology & Biomedicine

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