FlowJo v10
SeqGeq™ [seek-geek] analyzes gene expression data—particularly from single-cell RNA sequencing. SeqGeq helps you cluster and subset populations of cells, navigate this data stream using gene sets, and rapidly produce reports and visualizations.
Getting Started with SeqGeq™
SeqGeq™ [seek-geek] analyzes gene expression data—particularly from single-cell RNA sequencing (scRNA-seq). SeqGeq helps you cluster and subset populations of cells, navigate this data stream using gene sets, and rapidly produce reports and visualizations.
Advanced SeqGeq™ Training
Follow along with Director of Product Innovation, Ian Taylor, in this series of advanced SeqGeq webinars on four major lessons in SeqGeq: quality control, dimensionality reduction, clustering, and DEG analysis.
Combining scRNA-seq and Flow Analyses
Example analysis of single-cell protein expression, and whole transcriptome in a combined data matrix.
Differential Expression Analysis
Introduction to finding differentially expressed GeneSets between populations of interest using SeqGeq's volcano plots.
GeneSet Enrichment Analysis
Making sense of differentially expressed GeneSets from known and unknown populations using GeneSet Libraries.
Genomic Cytometry
This tutorial explores why the emerging field of Genomic Cytometry, (i.e. the measurement of cells using genomic techniques such as sequencing)—in conjunction with more traditional cytometry techniques such as fluorescence, mass and imaging cytometry—is becoming a standard tool for biologists looking to unravel complex cellular processes and to develop a deeper understanding of heterogeneity.