Event sponsored by:
Computational Biology and Bioinformatics (CBB)
Biostatistics and Bioinformatics
Center for Advanced Genomic Technologies
Duke Center for Genomic and Computational Biology (GCB)
Precision Genomics Collaboratory
School of Medicine (SOM)
University Program in Genetics & Genomics (UPGG)
Contact:
Franklin, Monica
Speaker:
Mike Love, PhD
The Love lab develops statistical methods and open source software for analysis of high dimensional biological data. We collaborate with groups in Genetics, Biology, Computer Science, Neuroscience/Psychiatry, and Cancer Epidemiology, to improve data analysis tools and workflows, with a focus on transcriptomics. Here I will talk about updates from an international team within R/Bioconductor working to enable tidy data analysis for complex objects, such as genome annotations or single cell expression sets.
CBB Monday Seminar Series