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June 4, 2019  |  Announcements

PRESS RELEASE: Beckman Coulter Life Sciences Acquires Cytobank

FOR IMMEDIATE RELEASE
BECKMAN COULTER LIFE SCIENCES ACQUIRES CYTOBANK

bcls-vert_1200(INDIANAPOLIS, INDIANA – June 4, 2019) – Beckman Coulter Life Sciences today announced its acquisition of Cytobank, a privately held, single cell data analysis, software as a service (SaaS) company based in Santa Clara, California.

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April 15, 2019  |  CITE-seq, Education

How-to: Analyze CITE-seq Data in Cytobank

CITE-seq, or Cellular Indexing of Transcriptomes and Epitopes by sequencing [1], is one of the latest innovations for studying single-cell biology. It enables researchers to simultaneously capture RNA and surface protein expression on the same cells with next generation sequencing technology. Scientists can correlate the two data types and identify biomarkers and better characterize cell phenotypes [2]. The normalization and comparison of the two data types, however, do present data analysis challenges. At Cytobank, we want to make CITE-seq data analysis easier and help you discover more.

Here’s an approach that utilizes the Cytobank platform and should help you effectively analyze your multi-omic CITE-seq data. More »

March 15, 2019  |  Education, FlowSOM, viSNE

Beginner’s guide to FlowSOM: Profiling the innate immune response to viral infection

FlowSOM detailChikungunya virus is transmitted to humans in tropical regions through the bite of a mosquito carrying the virus. Pediatric populations are most at risk for developing acute illness of fever, rash, and joint pain, often followed chronic, debilitating arthritis. With no available vaccine or effective anti-viral treatment, a comprehensive immunophenotyping study was performed by Michlmayr et. al. on PBMCs of 42 children during acute and convalescent phases of infection, to better understand the innate anti-viral immune response.

Using 35-parameter CyTOF data available on ImmPort (SDY1288), we applied Cytobank’s machine learning tools viSNE followed by FlowSOM to simplify visualization, then cluster cells and identify which clusters were altered during acute infection. More »

December 20, 2018  |  Announcements

Our CEO’s Top Observations from ASH 2018

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This month, we were pleased to exhibit at the annual meeting for the American Society for Hematology (ASH), the most comprehensive hematology event of the year. We were excited to witness firsthand the rapid development of immunotherapy and the use of cutting-edge technologies (including Cytobank) being used by leaders in hematology from around the world.

The main trends I observed at ASH relevant to the research we support were: More »

November 30, 2018  |  Announcements, Education, FlowSOM, Release Notes

Announcing: Cytobank 7.0 with FlowSOM

We are delighted to introduce our latest version of Cytobank.

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Included in this release are many performance and interface improvements, as well as a notable new addition to our repertoire of integrated algorithms. As we continue to evolve and improve our platform in response to your needs and feedback, we also look to leaders in our field to expand our capabilities and bring high-level developments in bioinformatics to you in an approachable and easy-to-use way.
In this spirit, we introduce
FlowSOM in Cytobank More »

November 12, 2018  |  Announcements, Flow Cytometry, FlowSOM, Webinars

Free Webinar Nov 28th:
Intro to FlowSOM in Cytobank with Sofie van Gassen

Free FlowSOM Webinar Wednesday, November 28, 2018 SofieCircle
9:00 AM PST / 12:00 PM EST / 6:00 PM CET

FlowSOM in Cytobank is coming soon!

Sign up now to learn from our scientists and our special guest expert for our next live webinar.

FlowSOMNovember2018When it is released to all users on Cytobank later this month, the FlowSOM algorithm will speed time to analysis and quality of clustering with self-organizing maps (SOMs) that can reveal how all markers are behaving on all cells, and can detect subsets that might otherwise be missed. If you have a large study with many events per sample or many samples, FlowSOM enables you to include all your data in the analysis, instead of restrictively subsampling. Leveraging the power of the Cytobank cloud, users can scale their compute to run up to 90 million events through FlowSOM in only 3.5 hours More »