Tregs: How Deep Can You Go?
Leverage Machine Learning to Identify Novel Cell Populations
and integrate single-cell
technologies
Wednesday, January 23rd, 2019
10:00AM PST/1:00PM EST/6:00 PM GMT
Tregs: How Deep Can You Go?
Leverage Machine Learning to Identify Novel Cell Populations
and integrate single-cell
technologies
Wednesday, January 23rd, 2019
10:00AM PST/1:00PM EST/6:00 PM GMT
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 »
Free FlowSOM Webinar Wednesday, November 28, 2018
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.
When 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 »
By our guest blogger, Ken Stineman*, Ken is Cytobank’s Security Lead.
Cytobank is utilized by most of the top pharmaceutical companies, immunologically-driven biotech companies and many leading academic institutions for analyzing, storing and sharing complex cytometry data generated on their clinical trial specimens. These entities routinely perform rigorous assessments of our security and these complement the testing and evaluation we do in-house. More »
ISAC’s Live Education Delivery Task Force will be hosting the fourth Sino-US Cytometry Workshop in Hangzhou, China October 24th-26th. Be sure to catch our very own Qianjun Zhang as she serves as co-host and speaker at the event. Her session, entitled “Big Data in Single Cell, high dimensional data analysis” will be on Thursday, October 25th at 15:30 local time.
Novel data analysis methods will automate biomarker discovery
to predict patient response in clinical trials
Mountain View, Calif. – August 1, 2108 – Cytobank has been awarded a $1.3M Phase II SBIR grant from the NIH to scale and add more machine learning algorithms to its popular cloud-based informatics platform. In use at many leading academic institutions and the top ten global pharmaceutical companies, Cytobank’s research platform enables faster, more comprehensive analysis of the high-dimensional single cell datasets captured in immunotherapy clinical trials. There are greater than 1,000 active clinical trials for immunotherapies in oncology alone. More »
Our recent Webinar with Dr. Shahram Kordasti and Bioinformatician Thanos Mourikis explored cytoclustR, a new tool they developed with the Cytobank API.
Dr. Kordasti began by reviewing how he set up his experiment pipeline to best identify Treg populations, as outlined in his article featured on the cover of Blood Journal.
Thanos followed with a step-by-step tutorial on how to use cytoclustR with SPADE in Cytobank to distinguish and report on hidden cell populations that might otherwise go unnoticed with manual gating strategies.
Cytobank’s latest release introduces functionality to help you better manage your account storage and more easily clone experiment features
Improved Storage Management
You can now see how much storage space you are using, and can filter by experiment size in the inbox. Understand quickly which of your experiments may be more resource-intensive, cull unused or duplicate experiments, and keep your storage usage in check.
Improvements to cloning and sharing (learn more)
Select which components from your experiments to clone. Carry over sharing permissions, compensation matrices separately from gates, panels separately from sample tags, and more. You can also choose whether to give your PI full access when you clone experiments. These features are also fully-supported in the Cytobank API.
Iterate and Refine Faster
You can now quickly cancel SPADE, viSNE, and CITRUS runs in progress to correct mistakes or refine settings.