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Here’s where you can find out about it.
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.

Analyze Multiple Single Cell Data Types to Discover More:image1

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.

AshuHannah2 More »

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 »

February 23, 2017  |  Education, Flow Cytometry, viSNE

Five Key Takeaways from Our Latest viSNE Webinar

We recently hosted a very popular webinar, “Placing viSNE in Your Toolbox” featuring special guest Dr. Anna Belkina of Boston University School of Medicine. More than 500 investigators registered for our event to learn about cutting-edge tools and techniques for optimizing results from high-dimensional cytometry datasets.

Cytobank screenshots from Bendall et.al. Science 2011
Cytobank screenshots on Bendall et.al. Science 2011 data

Missed our latest viSNE presentation?
View the webinar recording here:
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February 8, 2017  |  Announcements, Cytobank, Education, viSNE

Reminder: Sign Up for Our viSNE Webinar

LAST CALL: Register for Our viSNE Webinar Feb 15.

Only hours remain to register for our next viSNE webinar. Join us Wednesday, February 15th at 9AM PST for:

Placing viSNE in your toolbox: how to optimize the automated analysis of polychromatic flow cytometry datasets.

Learn more about how Cytobank’s new advanced viSNE (t-SNE) settings automate and improve analysis of large cytometry datasets with precision. More »

January 11, 2017  |  Announcements, API, Cytobank

New API Enhancements: 4 Sample Workflows for Advanced Analysis

Cytobank has released version 5.5.0 with enhancements to our API, enabling more flexible and functional workflows that leverage Cytobank’s secure infrastructure and cloud-based compute and storage. Among the enhancements are new API endpoints for viSNE, CITRUS, SPADE, sharing, Sample Tags, and compensation.

At Cytobank, we’ve seen emerging needs among scientists and research organizations the world over that are driving the development of our API. These needs often demand functionality beyond that given by basic browser-based analysis sessions, with themes including connecting the Cytobank platform directly to other information systems, allowing batch processing and chaining of native functionality, and supporting pull and push of data, configurations, statistics, and attachments from Cytobank to support external pipelines, algorithms, and studies.

api-2_1-Fig-1a
Visual overview of the high level themes driving development of the Cytobank API.

In this article, we present a variety of workflows highlighting how the Cytobank API can increase the efficiency and velocity of research efforts. Illustrated workflows include:

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