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What is CZ CELLxGENE Discover?
Select two customized cell groups by leveraging metadata to identify their most distinctly expressed genes. Use the vast repository of millions of cells from the integrated CZ CELLxGENE database for comprehensive analysis. Engage in dynamic examinations of datasets to explore how gene expression patterns are shaped by spatial, environmental, and genetic factors through an intuitive no-code interface. This approach allows researchers to gain insights into existing datasets or utilize them as a springboard to uncover novel cell subtypes and states. Census enables access to any tailored segment of standardized cell data within the CZ CELLxGENE, with options for exploration in both R and Python environments. Immerse yourself in an interactive encyclopedia that features over 700 cell types, complete with detailed definitions, marker genes, lineage details, and related datasets all accessible in a single platform. In addition, researchers can browse and acquire an extensive array of standardized data collections, alongside more than 1,000 datasets that illuminate the functions of both healthy mouse and human tissues, significantly enhancing the study of cellular biology. This resource serves as an invaluable tool for scientists striving to deepen their understanding of cellular dynamics and gene expression, ultimately driving innovation in the field. Furthermore, the user-friendly interface promotes collaborative efforts among researchers, fostering a community of shared knowledge and discoveries.
What is BigOmics Analytics?
BigOmics Analytics is a groundbreaking startup dedicated to the field of biodata analytics, developing tools that help biologists visualize and interpret their omics data with ease. Its flagship product, Omics Playground, is a user-friendly bioinformatics platform tailored specifically for RNA-seq and proteomics data, allowing users to interactively store and analyze experimental findings. Featuring over 18 interactive analysis modules and more than 150 vibrant plots, BigOmics Analytics enables users to conduct co-analysis with access to over 6,000 publicly available datasets, as well as more than 50,000 public gene sets and pathways. In addition to this, the platform integrates various databases related to drug connectivity and sensitivity, boasting over 30,000 drug expression profiles that significantly enhance research capabilities. Designed to facilitate effective collaboration between biologists and bioinformaticians, BigOmics Analytics helps users derive insights more swiftly, ultimately saving precious time during the data analysis process, all without requiring any coding knowledge. Moreover, the platform ensures reliable and reproducible results through advanced methodologies, instilling confidence in the accuracy of their analytical outcomes. As a result, researchers can focus on scientific discovery rather than technical hurdles, allowing for deeper exploration of biological phenomena.
Integrations Supported
Python
R
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
CZ CELLxGENE
Company Location
United States
Company Website
cellxgene.cziscience.com
Company Facts
Organization Name
BigOmics Analytics
Date Founded
2018
Company Location
Switzerland
Company Website
bigomics.ch/