Friday, April 4, 2025, 10 am to noon 

Zoom Link: https://ualr-edu.zoom.us/j/89411460931 

Overview

This workshop will provide an overview of the fundamentals of single-cell RNA sequencing (scRNA-seq) data and its applications. Single-cell RNA sequencing (scRNA-seq) is a technology used to analyze the transcriptome of individual cells, allowing researchers to study the gene expression patterns within a cell population, identify rare cell types, and understand cell heterogeneity at a very detailed level, particularly within complex tissues like tumors or developing embryos; essentially revealing the unique transcriptional profile of each cell within a sample. 

Participants will engage in hands-on exercises using the Seurat R package. Key learning outcomes include: 

• Understanding the basics of scRNA-seq technology 
• Performing data preprocessing and quality control steps 
• Processing, and visualizing scRNA-seq data 
• Utilizing techniques for clustering and differential expression analysis 

Workshop Host

Dr. Mary Yang received the MS, MSECE and Ph.D. degrees all from Purdue University. She joined the National Human Genome Research Institute in 2005, where she has been working on various projects related to genomics and systems biology. She has been Founding Editor-in-Chief of International Journal of Computational Biology and Drug Design, a NIH PubMed fully indexed journal and is on editorial boards of Journal of Supercomputing and International Journal of Pattern Recognition and Artificial Intelligence. She was recruited to Arkansas as Associate Professor and Director of the Joint Bioinformatics Ph.D. Program of University of Arkansas Little Rock College of Engineering & Information Technology and University of Arkansas for Medical Sciences, and has served on the Steering Committee of NIH funded AR INBRE. She is the recipient of the Bilsland Dissertation Fellowship, the Purdue Research Foundation Fellowship, the IEEE Bioinformatics and Bioengineering Outstanding Achievement Awards, the NIH Academic Research Enhancement Award, NIH Fellows Award for Research Excellence and the Basic Science Research Award of Arkansas Science and Technology Authority and ARA Fellow Award. 

Prerequisites
Knowledge of R programming will be beneficial for the hands-on exercises. 

Equipment Needed
Participants need to have a computer with R and RStudio installed for the hands-on portion of the workshop.

Contact:

Bioinformatics Core
Co-Director
(501) 683-7056 | Email