Exploring Bioinformatics for Single-Cell Sequencing Data

About the webinar

Cell populations in complex biological systems are rarely homogenous. Single-cell sequencing aims to uncover the diversity in heterogeneous samples and help scientists study gene expression at the cellular level.

In this workshop, our team guides you through the single-cell sequencing process to learn how to analyze single-cell sequencing results using bioinformatics tools. Following the informative presentation, bioinformatics experts at GENEWIZ from Azenta and ROSALIND address common challenges in single-cell sequencing data analysis and answer frequently asked questions during the roundtable discussion.

What you'll learn about

• How to analyze single-cell gene expression data using ROSALIND’s data visualization and analysis tool
• How to use top marker gene expression data to identify different cell types
• How to compare cell clusters across various sample datasets

Presenters and Roundtable Experts

Andrea O'Hara, Ph.D.
Strategic Technical Specialist
Azenta Life Sciences

Pranay Vishwanath
Bioinformatics Team lead
Azenta Life Sciences

Angela Mo, Ph.D.
Bioinformatics Scientist
Azenta Life Sciences

Brian Sereni
Manager, Bioinformatics
Azenta Life Sciences

Nicole Abreu, PhD
Senior Customer Success Manager
Rosalind, Inc.