Name: Intermediate R: RNAseq analysis
Start: 2019-04-22T14:00:00-07:00
End: 2019-04-22T17:00:00-07:00
Location: UCSF Mission Bay

Intermediate R: RNAseq analysis

The emerging field of precision medicine demands a new approach to research that harnesses the power of data science. This requires biomedical researchers and practicing clinicians with skills in quantitative and computer sciences as well as modern computing and data infrastructure to support relevant research activities and implement findings in clinical practice. TheUCSF Bakar Computational Health Sciences Instituteis working to build a foundation of faculty and knowledge assets in computational health sciences and bring together a community of thinkers interested in this emerging field. Our initiatives are focused on enhancing education and infrastructure as well as building community with the goal of advancing computational health sciences in research, practice, and education—in support of precision medicine for all.*****Based in San Francisco’s Mission Bay neighborhood, theGladstone Institutesis an independent state-of-the-art biomedical research institution that empowers its world-class scientists to find new pathways to cures.At Gladstone, over 350 scientists and trainees use visionary science and technology in cardiovascular biology, immunology, neuroscience, and stem cell biology to overcome unsolved diseases. They are supported by cutting edge core facilities and essential administrative partners.

UCSF Bakar Computational Health Sciences Institute & Gladstone Institutes

The learning objectives for this workshop include: 1) How to go from a matrix of raw gene expression counts to differentially expressed genes. 2) How to analyze experimental designs that go beyond 2-group comparisons using edgeR’s generalized linear modeling capabilities. 3) Ways to test specific hypotheses using a joint model fit. 
Prerequisites: A minimum of 4 to 6 months experience programming in R and have taken the RNAseq Analysis in R workshop or something equivalent. 
Laptop required.
 
<H5>Presenter</H5>
Dan Fulop, Gladstone Institutes.  Dan is a Research Scientist at the Bioinformatics Core, Gladstone Institute of Data Science and Biotechnology.  He has a background in statistical and quantitative genetics and evolutionary modeling. He has broad expertise in experimental design, bayesian and frequentist statistics, and data science tools and methods.

UCSF Mission Bay

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Intermediate R: RNAseq analysis

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