** Enroll in Our Online Bioinformatics Workshops (https://registration.genomecenter.ucdavis.edu/events/organizer/bioinformatics_core/)
Our multi-day, hands-on, virtual workshops give researchers the tools to plan and execute successful bioinformatics and genomics experiments. These workshops, taught by experienced Bioinformatics Core personnel, cover both the theoretical and practical aspects of a wide range of genomic experiments. Gain a deeper understanding of bioinformatics, genomics, and how the bioinformatics core can help your research by registering today! Register Now (https://registration.genomecenter.ucdavis.edu/events/organizer/bioinformatics_core/)
** Introduction to R for Bioinformatics
March 9, 11, 13 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/r_mar_2026/)
June 8, 10, 12 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/r_jun_2026/)
Aug 31, Sep 2, 4 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/r_aug_2026/)
This three-part workshop in R is designed to help biologists with no prior data analysis experience get up to speed with the R programming language as it is widely used in many bioinformatics workflows to explore data, perform statistical analysis and generate publication quality graphics. This workshop will prepare you for our Intermediate VIsualization workshop.
Registration fees are $350 for current UC students, faculty and staff, $500 for other academic and non-profit, and $650 for other participants.
** Intermediate Visualization for Bioinformatics
March 16, 18, 20 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/Intermediate_Visualization_March_2026/)
Sept 8, 9, 11 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/Intermediate_Visualization_Sept_2026/)
Learn the fundamentals of visualization and figure design in base R, ggplot2, and other popular graphics packages. Students will create many commonly requested bioinformatics visualizations, from scatter plots (including volcano plots, dot plots, and UMAP biplots), to box plots, heat maps, and multi-panel figures. By the end of the course, students will have not only code templates for standard plots, but also the skills with which to customize their own publication-ready figures. Familiarity with the concepts covered in our Introduction to R for Bioinformatics course is a prerequisite.
Registration fees are $350 for current UC students, faculty and staff, $500 for other academic and non-profit, and $650 for other participants.
** RNA-Seq Analysis
March 23-26, 9am – 5pm (https://registration.genomecenter.ucdavis.edu/events/RNAseq_march_2026/)
Our flagship workshop provides comprehensive training in experimental design considerations, data quality assessment, unsupervised learning methods to discover biological patterns, statistical approaches for differential expression and pathway analysis, and visualization. The course features a half-day introduction to command-line tools and R, followed by 3.5 days of in-depth lectures and hands-on training in RNA-Seq data analysis. Participants will explore an RNA-Seq experiment using the command-line tools and R, develop and customize workflows, and identify and address data quality issues utilizing high performance computing resources.
** Introduction to Command Line for Bioinformatics
April 6, 8, 10 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/cli_apr_2026/)
July 13, 15, 17 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/cli_jul_2026/)
Nov 2, 4, 6 - 2-5pm (https://registration.genomecenter.ucdavis.edu/events/cli_nov_2026/)
Get off to a good start in bioinformatics with this three-part workshop in the use of the command line interface. This workshop lays the foundation for successful bioinformatics experiments by teaching the skills necessary for efficient handling of large data sets.
Registration fees are $350 for current UC students, faculty and staff, $500 for other academic and non-profit, and $650 for other participants.
** Introduction to Python for Bioinformatics
May 4-8, 2-5pm (https://registration.genomecenter.ucdavis.edu/events/python_may_2026/)
Nov 30-Dec 4, 2-5pm (https://registration.genomecenter.ucdavis.edu/events/python_nov_2026/)
This five day workshop will teach the fundamentals of programming to beginning analysis of bioinformatics data using Python. We will start from the basic building blocks of programming and progress to using simple python packages for applied bioinformatics analysis.
Registration fees are $350 for current UC students, faculty, staff, $500 for other academic or non-profit participants and $650 for other participants.
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If you have any questions regarding our workshops contact us:
** training.bioinformatics@ucdavis.edu (mailto:training.bioinformatics@ucdavis.edu)
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