CCB Bioinformatics Bootcamp
The Center for Computational Biology offers a 5-day “Introduction to Programming for Bioinformatics” bootcamp. The goals of this course are to introduce students to Python, a simple and powerful programming language that is used for many applications, and to expose them to the practical bioinformatic utility of Python and programming in general.
The course will allow students to apply programming to the problems that they face in the lab and to leave this course with a sufficiently generalized knowledge of programming (and the confidence to read the manuals) that they will be able to apply their skills to whatever projects they happen to be working on. The course assumes no programming experience, and there are no prerequisites for the course.
The next “Introduction to Programming for Bioinformatics” bootcamp will be offered from June 13-17, 2022. Registration for the bootcamp is currently open. Please email email@example.com if you would like to be added to the bootcamp mailing list or to receive info on how to register.
Please check our FAQ page for any questions you might have.
The schedule below shows an approximation of what is covered in the course.
|Day 1||Morning: The Very Basics: Hello, World! Variables, and Printing
Afternoon: Functions and Methods
|Day 2||Morning: Control flow – conditional statements and loops
Afternoon: Data structures – Lists and Tuples
|Day 3||Morning: Data structures – Dictionaries
Afternoon: Reading and Writing from Files
|Day 4||Morning: Modules, Numpy, Scipy
Afternoon: Visualizing data with Matplotlib
|Day 5||Morning: Pandas and Data Manipulation
Afternoon: Applications and Next Steps
Computational Biology Core Skills Seminars
The aim of the Computational Biology Core Skills seminars is to strengthen bioinformatics training on campus by providing a setting to disseminate knowledge and experience among the student community.
These peer taught seminars are organized by and for graduate students, but are open to other UC Berkeley researchers and affiliates.
Most seminars will be hybrid & meet in Stanley Hall 177. **Virtual only.
You will need to RSVP to receive a zoom link for the session.
To view the recordings of the previous Computational Biology skills seminars and tutorials, please click here.
|Thursday, September 15th, 12:30 – 1:30 PM||Speaker: Sarah Johnson (PhD student, Moorjani lab)
Topic: Leveraging R’s ggplot for biological data analysis and visualization
|Thursday, October 13th, 12:30 – 1:30 PM||Speaker: Elise Kerdoncuff (Postdoctoral Researcher, Moorjani lab)
Topic:Introduction to LaTeX using Overleaf
|Thursday, November 10th, 12:30 – 1:30 PM||Speaker: Michael Vinyard (PhD student, Pinello/Getz labs at Massachusetts General Hospital/Broad Institute)
Topic: Introduction to modelling single-cell dynamics
|Thursday, December 8th, 12:30 – 1:30 PM||Speaker: Tim Wood (Associate Computational Biologist, Getz lab at the Broad Institute)
Topic: Clustering and dimensionality reduction in biology
|Berkeley Institute For Data Science (BIDS)||Machine learning, data science, statistics||https://bids.berkeley.edu/events|
|Berkeley Research Computing (BRC) – Research IT||Varies||http://research-it.berkeley.edu/events|
|D-Lab||Python, Excel, and more||https://dlab.berkeley.edu/training|
|Tutorials in R||https://github.com/dlab-berkeley|
|Department of Statistics||R- Bootcamp||http://statistics.berkeley.edu/computing/r-bootcamp|
|Berkeley Electrical Engineering and Computer Sciences||Varies||https://eecs.berkeley.edu/academics/courses|
|Simons Institute for the Theory of Computing||Data analysis, deep learning, and more||https://simons.berkeley.edu/workshops|
|Computational Genomics Resource Laboratory||Next generation sequencing data analysis||http://qb3.berkeley.edu/cgrl/|
|Carpentries Club||Python, R, Shell, Git, and more||https://bids.github.io/carpentries-club/who.html|
|Berkeley Center for Cosmological Physics||Varies||http://bccp.berkeley.edu/workshops/|
|Berkeley Nanosciences and Nanoengineering Institute||Varies||https://nano.berkeley.edu/news/conferences.html|
|UCSF Bakar Computational Health Sciences Insittute||Biomedical informatics, molecular study, systems biology, systems pharmacology||http://bakarinstitute.ucsf.edu/|
|UC Davis Bioinformatics Core Facility||Data analysis||https://bioinformatics.ucdavis.edu/|