[Sdcsb-l] [Sdbus-L] UC Davis RNA-Seq Workshop in June!

Mailing list for the San Diego Bioinformatics Users Series sdbus-l@mailman.ucsd.edu
Wed Apr 12 10:16:13 PDT 2017

Registration is now open for a 
UC Davis Bioinformatics RNA-Seq Workshop!
June 19-23, 2017

Now in its 10th year, the UC Davis Bioinformatics Core Training Program will present a week-long RNA-Seq Workshop here in Davis in June!


This workshop will include a rich collection of lectures and hands-on sessions, covering both theory and tools associated with command-line RNA-seq data analysis. Participants will explore experimental design, cost estimation, data generation, and analysis of RNA-Seq data generated on the Illumina sequencing platform. You will use your own laptop to learn about software and protocols, create and modify workflows, and diagnose/treat problematic data utilizing high performance computing. Exercises will be performed with provided datasets, using command-line interaction. 


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 RNA sequence analysis 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? … The registration fee is $1,400 for UC and UC affiliates, $1,600 for other academic or non-profit participants and $2,000 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.



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


The UC Davis Bioinformatics Core Team



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