Watch our recorded webinars here!
Intro to FlowJo v10
First Thursday of the month at 10AM 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 FlowJo Envoy
July 20th 2017 at 10:00AM PST
FlowJo Envoy is a cloud based lab organization & management software. It provides an individual lab or larger institution with the ability to house workflow instructions, progress reports, data storage, and workgroup specific communication in one place. This demo will show you how to simplify your lab organization in just moments. Click here to join.
Intro to SeqGeq™
August 9th, 2017 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.
Concatenation and tSNE in FlowJo®
August 17th, 2017 at 10:00 AM 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.
Intro to SeqGeq™
September 6th, 2017 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.
Compensation
September 21st, 2017 at 10:00 AM PST
The foundation of any multicolor flow experiment is always proper compensation. This is typically the first step in an analysis - relying on quality single stained compensation controls, either from beads or cells. Learn to: gate positive and negative control populations, troubleshoot the compensation platform, add/remove parameters, and check the calculated spillover matrix. Compensation can be tricky for novice and advanced cytometrists alike, but with a little practice, FlowJo's compensation Wizard feature will make this process a breeze. Click here to join.
Intro to SeqGeq™
October 4th, 2017 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.
The Proliferation Platform
October 19th, 2017 at 10:00 AM 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.
Discovery Band Preview
November 16th, 2017 at 10:00AM PST
The new discovery band elevates the analysis capabilities of the data mining tools in FlowJo® to an exciting level. The band includes the expansion of the data reduction suite beyond tSNE, an interactive minimal spanning tree, a variety of visualization tools, and more. Learn how these new tools work synergistically. Click here to join.
Cell Cycle in FlowJo®
December 21st, 2017 at 10:00AM PST
In this webinar we will cover using 1-dimensional DNA content based models for analyzing cell cycle data algorithmically, as well as using 2-dimensional gating strategies including BrdU/EdU. Click here to join.
Have a request for a webinar? Email us at media@flowjo.com