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Here’s where you can find out about it.
September 18, 2017  |  Announcements, API, Education, Flow Cytometry, viSNE

Don’t Miss Our Next Webinar:
Create & Optimize Your Data Analysis Pipeline

Join us Wednesday, September 27th for our next free webinar. In this field report, you’ll get a walkthrough of how a successful Mass Cytometry core facility applied Cytobank and data analysis best-practices to streamline and grow their operations.

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Cytobank’s machine-learning algorithms enable faster, more comprehensive analysis of complex life science datasets for single cell and bulk data resolution. Making the leap from manual analysis to Machine Learning-assisted analysis may seem daunting, but it doesn’t have to be.

We’ll learn from guest presenter Dr. Vinko Tosevski, head of the Mass Cytometry Core Facility at The University of Zurich how he leveraged Cytobank in his operation to build an efficient data analysis pipeline.

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August 16, 2017  |  Announcements, DROP, Release Notes

New Release: DROP Expands Machine Learning Analysis
to More Data Types

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The team at Cytobank is delighted to announce the release of version 6.0.

In addition to updates and improvements across the platform, we are most excited to announce that our new DROP functionality is now available on all Enterprise Cytobank sites.

DROP (Data to Results Optimization Portal) enables you to import any numeric data in the format of a spreadsheet / numeric matrix for analysis by automating its conversion into an FCS file within Cytobank.

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August 16, 2017  |  Announcements

Don’t Miss Our DROP Training Webinar Aug. 23

You are invited to join us Wednesday, August 23rd at 12:00 PM EDDropSimpleGoldT/9:00 AM PDT for a live webinar showcasing our new DROP functionality in Cytobank Enterprise.

Geoff-144px Join Cytobank’s Application Scientist Geoff Kraker for a live demo and training for the newest features that enable broader analysis of more data types than ever before. Brush up on all that Cytobank has to offer, ask your questions, and take back more tools and methods to help accelerate your discovery.

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June 8, 2017  |  Cytobank

Maximize Your Insight with Machine Learning Algorithms
and NanoString® 3D Biology™ Technology

Courtesy: NanoString
Image courtesy: NanoString

Scientists across many therapeutic areas are striving to solve complex biological problems by measuring multiple analytes, thinking that together these data will power deeper discovery. However, analyzing these data independently is less effective and more time-consuming than analyzing them together. Cytobank’s new DROP feature allows scientists to apply machine learning algorithms to many data types, including these datasets, and to develop integrated insights quickly.

With bulk data, unsupervised machine learning algorithms on Cytobank can help you identify clinically relevant groups of samples by combining information from all of your markers at the same time. We’ll illustrate that here with Nanostring® 3D Biology technology, which simultaneously analyzes up to 800 SNVs, RNA, and proteins and phospho-proteins from the same sample. In this example, the assays used profile 104 SNV and small InDels, 192 RNA, and 28 total and phospho-proteins in 144 samples.

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May 24, 2017  |  Announcements

Coming Soon: Analyze More Data Types in Cytobank

Run Cytobank’s machine learning-based dimensionality reduction and clustering tools across additional data types beyond cytometry. Discover biomarkers and explore cellular interactions and clinical outcomes faster and more comprehensively leveraging the scalable compute and collaborative power of the cloud.

Measuring system-wide immune responses requires significant breadth and depth of data [123]. Cytobank will soon release functionality on its Enterprise-level platform enabling you to expand your analysis beyond cytometry to tabular single cell or bulk data including RNA, DNA, extracted imaging features, proteins (e.g. cytokine/chemokine, antibodies, cellular proteins), metabolomics, clinical features, and more.

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Leverage the discovery potential of broader, agnostic data types such as genomics and transcriptomics. Then cross-validate and delve deeper into mechanism with proteomics.

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May 10, 2017  |  API, Cytobank, User Stories

Two Disciplines, One Analysis Pipeline:
Leveraging the Cytobank API to Find Biological Insights

This week we interview scientists from two different disciplines to hear how they worked together and used the Cytobank API to develop an automated pipeline to find biomarkers for several chronic Graft-versus-host disease (GVHD) outcomes.  We asked bioinformatician and Cytobank consultant Ashu Sethi to share with us her experience using the API, and Cytobank’s own Hannah Polikowsky, on behalf of Vanderbilt, how this pipeline improved her analysis workflow.

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March 14, 2017  |  CITRUS, Education

Getting the Most out of CITRUS Part I: Imagine What You Can Do

This CITRUSsnapshotis Part I of a blog series where Cytobank’s Director of Informatics, Katherine Drake, PhD, will discuss important aspects of using CITRUS to your full advantage. She’ll help you understand when you should use CITRUS, what makes it so powerful, and what you need to know to choose the best setup options for your data.

Since we implemented CITRUS in Cytobank last fall, many scientists have taken advantage of its automated biomarker discovery pipeline to answer questions and find predictive models across a wide range of diseases. Here, I’ll discuss its capabilities and review some examples to help you imagine how you can use CITRUS, too. More »