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Description
Aspect Analytics provides a spatial multi-omics platform designed for collaborative and interdisciplinary data analysis and management, catering to research teams engaged in drug development, biomarker discovery, pathology analysis, and more. This innovative platform empowers transformative research and enhances collaboration by aggregating multi-omics data into a unified, interactive interface. Users can overlay various spatial omics measurements in a single visualization, allowing for simultaneous insights. Our solution integrates data from all spatial multi-omics assays, ensuring that you derive the necessary insights efficiently. You can securely store and manage vast amounts of data, with the ability to access it from anywhere at any time. The platform is designed for scalability, enabling you to customize your data infrastructure based on specific requirements. It supports the integration of spatial biology data from a variety of technologies and vendors, regardless of the format of the data. Furthermore, you can establish automated workflows to conduct comprehensive analyses on extensive datasets concurrently, thus enhancing the efficiency and effectiveness of your research endeavors. This capability not only streamlines the research process but also fosters innovation across disciplines.
Description
Choose two tailored cell groups by utilizing metadata to uncover their most significantly differentially expressed genes. Utilize the extensive collection of millions of cells from the integrated CZ CELLxGENE corpus for in-depth analysis. Conduct interactive examinations of datasets to investigate how gene expression patterns are influenced by spatial, environmental, and genetic variables through an intuitive no-code user interface. Gain insights into existing datasets or leverage them as a foundation to discover new cell subtypes and states. Census offers the capability to access any customized segment of standardized cell data available within CZ CELLxGENE, with opportunities for exploration in both R and Python. Delve into an interactive encyclopedia containing over 700 cell types that includes comprehensive definitions, marker genes, lineage information, and associated datasets all in one location. Additionally, you can browse and obtain hundreds of standardized data collections along with more than 1,000 datasets that detail the functionality of both healthy mouse and human tissues, enriching your research and understanding of cellular biology. This resource provides a valuable tool for researchers aiming to enhance their exploration of cellular dynamics and gene expression.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Python
No
R
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aspect Analytics
Founded
2018
Country
Belgium
Website
www.aspect-analytics.com
Vendor Details
Company Name
CZ CELLxGENE
Country
United States
Website
cellxgene.cziscience.com