September 4th-7th, 2018
Due to high demand, we have found a new location (with more seating) for the Prerequisites workshop! So if you tried to register and were discouraged by being on the wait list, you have a second chance!
Now in its 11th year, the UC Davis Bioinformatics Core Training Program will present the four-day prerequisites workshop here in Davis in September!
This workshop will cover the basic prerequisites required before performing bioinformatics analysis, including basic command line and high performance computing concepts, how to install software, use help, run applications, and advanced command line (shell scripting, pipes, etc.). Also covered will be basic R programming, basic statistical concepts, and model building. There are no prerequisites for this workshop other than an interest in bioinformatics! We are also offering the option of taking either the Command-Line portion (first two days) or the R portion (last two days) separately.
Who should attend?
Prior course participants have included faculty, post docs, grad students, staff, and industry researchers.
What are the prerequisites?
There are no prerequisites other than familiarity with general biological concepts and an enthusiasm for learning bioinformatics data analysis. Anyone with an interest in variant analysis or bioinformatics is welcome!
How do I register?
For more information, and to register, go to https://registration.genomecen ter.ucdavis.edu/. All registration is “first-come, first-served”. There is no application process.
How much does it cost?
For the full workshop, the registration fee is $600 for UC and UC affiliates, $900 for other academic or non-profit participants and $1,200 for other participants. For just the command-line portion or just the R portion, the fees are $400, $550, and $700. Registration fees include light breakfast, lunch, and snacks.
Where can I find more information, including your policies?
If you have any questions, please don’t hesitate to contact us at training.bioinformatics@ucdavi s.edu
The UC Davis Bioinformatics Core Team