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603, 6th Floor, Building 3, No. 8 Haiying Road, Fengtai District, Beijing
Sino New Creation (Beijing) Technology Co., Ltd
603, 6th Floor, Building 3, No. 8 Haiying Road, Fengtai District, Beijing
Cytobank Flow Cytometry Analysis Software Professional EditionIt is a cloud based platform that provides machine learning assisted analysis of high-dimensional single-cell data. Its dimensionality reduction, clustering, and prediction algorithms can effectively advance the research process. Using the Cytobank platform, flow cytometry, mass spectrometry, and other single-cell data can be managed and archived. Through network devices, cross disciplinary and cross regional collaboration between users can be easily achieved.
Multiple license types for you to choose from
User friendly user interface, easy to create comprehensive data analysis workflows
• Data visualization tool functionality *, capable of analyzing multiple single-cell datasets simultaneously
• Provide you with additional storage space, increased computing power, and bioinformatics expert services to assist in performance optimization
Cytobank Flow Cytometry Analysis Software Professional Editionfunction
Reduce subjective operations
• Use FlowSOM/SPADE algorithm to automatically aggregate phenotype similar cells
• Use the viSNE tool to display multidimensional data in a two-dimensional graph, facilitating the identification of rare biological subgroups
• Use CITRUS to automatically classify single-cell data and identify predictive biomarkers with statistical power in sample groups
Deep analysis of data
Machine learning assisted algorithms help discover unknown phenotypes and visualize the results
Utilizing cloud computing based parallel clustering algorithms to accelerate configuration optimization
• Share data scientist resources; The Scientific Services program can provide bioinformatics expertise for complex projects
collaboration
Cloud based data archiving and storage are highly suitable for user needs in regulated environments
Users can easily and securely share annotated data and solutions on networked devices
• Experimental collaborators can share research datasets in real-time; The central server instantly saves experimental change information
Machine learning assisted analysis for popularization
Designed specifically for biologists, no coding or plugins required. For more details, please visit the Learning Center
The online knowledge repository provides you with a massive collection of articles, operation tips, and application skills, and supports inquiry support application forms
The experiment manager can be used to organize and query projects, and the tree view can display the relationships between experiments

Can be customized for enterprise integration.