Abramoff, as part of his tool collection, the Bio-medical Imaging in Java. “Along with Bio-Rad’s best-in-class single-cell droplet technology, we provide our customers with a complete workflow solution for this application. FlowJ is a plugin that implements the main gradient-based optical flow techniques, such as Lucas and Kanade, Uras, Fleet and Jepson and Singh algorithms. “The availability of SeqGeq further enhances our comprehensive solution for single-cell analysis using NGS,” said Kevin Taylor, PhD, Senior Market Manager at Illumina. “The new offering enhances the power of single-cell research by empowering robust exploration of data from Illumina NGS runs.” “We are glad to put SeqGeq in the hands of researchers using NGS to add depth to their research into cell function, disease progression, and therapeutic response,” said Michael Stadnisky, PhD, CEO of FlowJo, LLC. The tool enables researchers to identify and explore subpopulations and differentially expressed genes, while generating publication-ready figures with ease. In this session, you’ll learn how to: Import samples into the FlowJo workspace Create sample groups Create gates and add these gates to all samples Transform the axes of plots Create a layout editor and add.
Flowjo internship software#
The software is a powerful tool for exploring single-cell NGS data and has an intuitive drag-and-drop interface that makes it easy to use for new users as well as researchers already familiar with the FlowJo solution. Join Nandhini Raman from the Flow Cytometry Core to learn the basics of FlowJo, the software used for analyzing flow cytometry data. In 2016, Illumina partnered with FlowJo, LLC, the producer of FlowJo, market-leading software for single-cell analysis, to develop a new software application for secondary and tertiary analysis of next-generation sequencing (NGS) data sets.įollowing the successful launch of the Illumina® Bio-Rad® Single-Cell Sequencing Solution, Illumina is proud to announce that the SeqGeq TM software, which seamlessly integrates with the single-cell sequencing workflow, is now available.
0 kommentar(er)
