18-21 March: Bioinformatics Prerequisites Workshop

Registration is now open for theUC Davis Bioinformatics Prerequisites Workshop!

March 18th-21st, 2019

Now in its 12th year, the UC Davis Bioinformatics Core Training Program will present a four-day prerequisites workshop here in Davis in March!

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!

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 bioinformatics is welcome!

How do I register?For more information, and to register, go to https://registration.genomecenter.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. Registration fees include light breakfast, lunch, and snacks.

Where can I find more information, including your policies?  … Go to our website (bioinformatics.ucdavis.edu/training/) and check out our FAQ and Policies.

Questions?

If you have any questions, please don’t hesitate to contact us at training.bioinformatics@ucdavis.edu

The UC Davis Bioinformatics Core Team

https://bioinformatics.ucdavis.edu

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  • 2019 Weaver Lecture: Carol Greider, 'Telomeres and Telomerase: From Fundamental Mechanisms to Disease'
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  • WCMC: Best practice in operating mass spectrometers in Metabolomics
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