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View Full Version : How to Analyze Single Cell RNA-Seq Data: Point, Click, Done


kgosche@partek.com
06-11-2020, 07:02 AM
Single cell mRNA sequencing allows for the identification of different cell subtypes in a progenitor population. During pancreatic development, Neurog3 positive cells are destined to become endocrine cells generating alpha cells, beta cells, and delta cells. However, single cell data analyses can be challenging for those without programming or command line experience. Partek® Flow® bioinformatic software resolves this challenge with a simple and intuitive graphical interface that doesn’t sacrifice flexibility or statistical power.

In this webinar scientists from 1CellBio and Partek will discuss how you can use the inDrop™ platform and Partek Flow to simplify single cell RNA-Seq analysis. There will be a live demonstration of Partek Flow using an inDrop single cell mRNA sequencing dataset.

June 24, 2020
11:00 a.m. EDT
REGISTER (https://www.partek.com/webinar/how-to-analyze-single-cell-rna-seq-data-point-click-done/)

You will learn how to:


identify cellular subtypes of Neurog3 positive cells
use information-rich and interactive visualizations to identify graph-based clustering and cluster classification
perform trajectory analysis of Neurog 3 positive cells