Flow cytometry data
Analyzing Flow cytometry data with Qlucore Omics Explorer
Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data.
FLOW CYTOMETRY DATA
With Qlucore Omics Explorer (QOE) you can analyze and explore many types of data. Flow Cytometry data is prevalent, and to assist with this an updated “How to work with flow cytometry data” document is available.
QOE can be employed if you are using manual or automatic gating. The pre-process required is to manage the feature extraction and end up with a sample-based data table, either in comma or tab separated format. This is then easily imported into QOE.
This document outlines a few different ways to use Qlucore Omics Explorer (QOE) for flow cytometry data analysis. It shows how to use visualization and statistics tools in QOE to find outliers and subgroups among samples, along with discriminating features.
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Dr Adam Stevens,
University of Manchester, UK
"Qlucore is a really great way to explore large data quickly."
PhD, Immunologist, immunobiology of dendritic cells, Institut Pasteur/Inserm, France
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PhD, Sahlgrenska University Hospital Gothenburg, Sweden
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PhD, Karolinska Institutet, Sweden