CZ CELLxGENE Discover 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.

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Loupe Browser stands out as a robust visualization tool, offering the user-friendly capabilities essential for delving into and interpreting 10x Genomics Chromium and Visium datasets. Additionally, the LoupeR package facilitates the transformation of Seurat objects into files compatible with Loupe Browser. The interactive features of the Loupe Browser interface are exemplified through its use of a lung squamous cell carcinoma dataset. Central to the user experience is the view panel, where individual points, each representing cell barcodes, are displayed across multiple projections. Each point typically corresponds to a single cell’s barcode, enabling focused analysis. The t-SNE plot generated by the cell ranger pipeline serves as the default projection, while alternative visualization options are also accessible. Users can effortlessly reposition the plot by dragging the mouse over the cells and can zoom in or out using the mouse wheel or trackpad. Moreover, as the mouse hovers over the plot, cluster labels become visible, which proves particularly beneficial when working with datasets that contain numerous precomputed clusters. This capability enhances the analytical experience, making it easier to identify and interpret complex data patterns.
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Integrations

API:
Yes, CZ CELLxGENE Discover has an API
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Company Details

Company:
CZ CELLxGENE
Headquarters:
United States
Website:
cellxgene.cziscience.com

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