Single-cell RNA sequencing (scRNA-seq) provides researchers the ability to explore gene expression at a single-cell resolution. With the maturation of scRNA-seq and bioinformatics comes an incredible number of analytical tools. When applied, these tools allow us to deepen our understanding of biological systems, including regulatory networks, unique cell types, and steps involved in the development of a phenotype. This seminar provided an overview of scRNA-seq technologies with a focus on computational analysis using popular software packages.
The seminar-workshop will familiarize you with standard downstream workflows using an example dataset. This technical seminar was presented by Matthew Salaciak, an MSc student in the Johnson Lab (Lady Davis Institute) on April 8th, 2021. This is part of a biomedical research technical seminar series hosted jointly by McGill University’s Experimental Medicine Graduate Students’ Society (EMGSS), Graduate Association of Physiology (GAP) and Graduate Association of Pharmacology and Therapeutics Students (GAPTS) in collaboration with trainee committees at the Lady Davis Institute for Medical Research (LDI) and the Institut de Recherches Cliniques de Montréal (IRCM). See emgss.org/tss for more.