Webinars

Intro to FlowJo v10

First Thursday of the month at 10:00AM PST
Learn how to use the FlowJo®  workspace, including how to load samples (experimental data), statistics, and gates, create groups and analyses, and generate tabular and graphical layouts. Designed for those new to FlowJo or who would like a refresher overview of the program. Click here to join.

Intro to SeqGeq®
Second Wednesday of the month at 10:00 AM PST
SeqGeq® analyses data from RNA-Seq and single-cell RNA sequencing (scRNA-seq), which provides the expression profile of individual cells using next-generation sequencing (NGS) technology to provide up to whole transcriptome analysis. Click here to join.

New SeqGeq Webinars

Differential Expression Analysis, March 29th at 10AM PST

Geneset Enrichment Analysis, March 30th at 10AM PST

Combining Flow and Single Cell RNA Seq, April 3rd at 9AM PST

Proliferation
March 15, 2018 at 10:00AM PST
Are you running cell proliferation experiments that employ membrane tracking dye(s)? Use FlowJo's Proliferation platform to mathematically model each generation. Learn how to use unstained and non-stimulated controls to set constraints on the model. Derive population statistics (e.g. Expansion, division and proliferation indices, etc.), create graphical and tabular reports with ease. Click here to join.

FlowJo Ninja Skills
April 19, 2018 at 10:00AM PST

Taking your FlowJo analysis skills to the next level with templates, automation, and an update on the latest tools in FlowJo Version 10. Click here to join.

Concatenation, tSNE, and Clustering
May 17, 2018 at 10:00AM PST
tSNE is a dimensionality reduction tool designed for assisting in the analysis of data sets with large numbers of parameters. tSNE produces two new parameters that effectively summarize all of the information contained in all other parameters. To compare different samples using tSNE, you must first concatenated (merge) the individual samples you wish to compare, then run tSNE on the concatenated file to produce a common dimensionally reduced data space. You can then use gating to pull apart the concatenated file into individual samples and compare how each of those samples is represented in the dimensionally reduced data space. To discover phenotypic changes or shifts between experimental conditions, gate the distinct populations you see in the common tSNE plot, use the original parameters to immunophenotype the populations and then compare the prevalence of those populations of between experimental conditions. Click here to join.

Concatenation, tSNE, and Clustering
July 19, 2018 at 10:00AM PST
tSNE is a dimensionality reduction tool designed for assisting in the analysis of data sets with large numbers of parameters. tSNE produces two new parameters that effectively summarize all of the information contained in all other parameters. To compare different samples using tSNE, you must first concatenated (merge) the individual samples you wish to compare, then run tSNE on the concatenated file to produce a common dimensionally reduced data space. You can then use gating to pull apart the concatenated file into individual samples and compare how each of those samples is represented in the dimensionally reduced data space. To discover phenotypic changes or shifts between experimental conditions, gate the distinct populations you see in the common tSNE plot, use the original parameters to immunophenotype the populations and then compare the prevalence of those populations of between experimental conditions. Click here to join.

Cell Cycle

December 20, 2018 at 10:00AM PST
Accurately quantify G0, G1, S, G2, and M phases of the cell cycle in FlowJo vX. Learn about the cell cycle statistics, how to constrain the models, create phase specific gates, and design tabular and graphical reports. Click here to join.

Have a request for a webinar? Email us at media@flowjo.com