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 based approach appropriate for Illumina read data (same as RNA-seq I).
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 in experimental design to data analysis and interpretation. This workshop can serve researchers who are interested in designing an scRNA-seq study or who have acquired […]
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) serves as an invaluable resource for researchers. This introductory workshop will cover the basics of writing queries to extract the relevant datasets for EHR-related research […]
“A lack of distinct cellular identities in scRNA-seq data: revisiting Waddington’s landscape” Single-cell RNA sequencing is revolutionizing our understanding of development, differentiation and disease. Analysis of this data is often challenging, however, and tasks like clustering cells to uncover distinct cellular identities sometimes yields results that fail to align with existing biological knowledge. We analyzed […]
“Unraveling Signaling Pathway Crosstalk Using LLMs” Living cells do not process information through isolated, linear pathways. Instead, they rely on an intricate network of signaling crosstalk to make critical fate decisions. Deciphering this hidden cellular conversation remains one of the greatest challenges in targeted oncology and regenerative medicine. Yet traditional mechanistic models struggle to capture […]
TITLE: "Evolutionary perspectives on malaria" Pathogen genomics increasingly guides public health decisions, yet organisms with complex life cycles can produce genealogies that violate assumptions of standard population genetic methods. Similarly, […]
