Flow Cytometry Training Program
Thursday, March 7, 2019

Presenter: Jack Panopoulos, FlowJo

Single-cell RNA sequencing technologies are rapidly modifying the definitions of extant cell phenotypes. However, the analysis tools used to discover these novel populations remain beyond the reach of most bench scientists. Given that datasets are composed of different types of cells, how can you identify their phenotypes?

In this tutorial, you will learn about SeqGeq (pronounced “seek-geek”), a platform designed from the bench scientist’s perspective. Find out how to utilize quality control, normalization, visualization, and clustering tools to identify populations of cells in a dataset. Once populations have been found, learn how to identify differentially expressed genes that define any given population and link those genes to downstream analyses. 

This tutorial will provide an introduction to:

  • Quality control steps (knee calling, isolating highly dispersed genes)
  • Normalization
  • Dimension reduction (PCA, tSNE, and others)
  • Clustering tools
  • Differential gene expression
  • Linking to pathway analyses
  • Increasing the power of your toolbox by installing additional plugins

Open to the Gladstone community.

Details

Dates
March 7, 2019
Time
10:00am-12:00pm PST
Location
Room 107C/D

Gladstone Flow Cytometry Training Program Seminars are intended to provide a grounding in the basic theory of flow cytometry and will teach you how to set up, run, and analyze your data.

Diversity, Equity, and Inclusion

At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.

We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.