The UC Davis Bioinformatics Core is pleased to announce that we will be continuing our remote workshops this fall, after a successful summer of seven multi-day courses!
We’re also glad to be adding bundle pricing options for labs sending multiple registrants:
- 15% off registration for groups of 3-5
- 25% off registration for groups of 6-10
- custom instructional packages for groups larger than 10
If you are interested in one of these pricing options, please contact us at training.bioinformatics@ucdavis.edu for a custom coupon code.
PacBio Iso-Seq Workshop Online September 30 - October 2
The Bioinformatics Core is excited to announce a three day workshop on Iso-Seq in partnership with PacBio! With instruction from experienced Core personnel and Iso-Seq analysis experts Dr. Liz Tseng, Principal Scientist at PacBio, and Dr. Ana Conesa, Professor at the University of Florida, this short course will provide a mixture of lectures and hands-on analysis to give participants an overview of the possibilities represented by full length transcript isoform sequencing with Iso-Seq.
Participants will explore experimental design, cost estimation, data generation, and analysis, following Iso-Seq experiments from end to end and learning about several applications of this high quality full length RNA sequence data. Exercises will be performed with provided datasets, using command-line interaction on the Genome Center Compute Cluster.
There are no prerequisites other than basic familiarity with genomic concepts. Some familiarity with the command-line and R is helpful. However, we will dedicate time on the first day to bringing everyone up-to-speed to be able to run the commands needed during this workshop.
Bioinformatics: Command Line/R Prerequisites Online October 5 - October 8
Ideal for biologists preparing to launch into bioinformatics, or those looking to better understand analyses run by collaborators and core specialists, this workshop will cover the basic computational and statistical concepts needed before performing bioinformatics analysis, including:
- Access to a multi-core Linux server
- Familiarity with the command line
- Basic knowledge of how to install software
- Basic knowledge of R and statistical programming
- Basic knowledge of Statistics and model building
The course will explore the fundamentals of successful, repeatable bioinformatics analysis: experimental data organization, basic command line and high performance computing concepts, simple software installations, using help, running applications, building basic pipelines, introduction to R programming, working with data tables and generating figures, basic statistical concepts, and statistical model building. There are no prerequisites for this workshop other than an interest in bioinformatics!
