Tuesday Jun, 02, 2026 - 1:30 PM
W33: Electronic Health Records Analysis
UCLA Health serves well over half a million patients annually, and as a result, UCLA possesses a vast database of Electronic Health Records (EHR). The stemming Discovery Data Repository (DDR) …
Tuesday Jun, 02, 2026 - 9:00 AM
W20: Single-Cell RNA-Seq Analysis with R
This workshop aims to introduce the basic concepts and algorithms for single-cell RNA-seq analysis. It will help participants obtain a better idea of how to use scRNA-seq technology, from considerations …
Wednesday May, 20, 2026 - 9:00 AM
W5b: RNA-Seq II Analysis
RNA-seq II aims to provide tools for analysis of gene expression data from read counts to biology using R. To facilitate learning, the workshop will use a real case study …
Monday May, 18, 2026 - 12:00 PM
Dmitri Petrov (Stanford University) – Frontiers in Computational Biosciences Seminar Series
Dmitri Petrov, Professor, Stanford University Real and Not Just Hopeful Monsters: Evolution by Very Large Jumps Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
Tuesday May, 12, 2026 - 9:00 AM
W5a: RNA-seq I Analysis
RNA-seq I aims to provide an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). The workshop can serve also as a starting point …
Monday May, 11, 2026 - 12:00 PM
Daniella Meeker (Yale University) – Frontiers in Computational Biosciences Seminar Series
Daniella Meeker, Associate Professor of Biomedical Informatics & Data Science, Chief Research Information Officer, Yale New Haven Health System Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
Tuesday May, 05, 2026 - 1:30 PM
W31: Spatial Transcriptomics
Spatial transcriptomics is an emerging field that bridges molecular biology and anatomy. Over the last decade, a battery of assays have been developed that profile gene expression in-situ, i.e, measuring …
Tuesday May, 05, 2026 - 9:00 AM
W14: Intro to Modern Statistics with R
Through this seminar, attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. These tests and the underlying bioinformatical lesson about resampling will be …
