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URL: https://chanzuckerberg.com/science/programs-resources/single-cell-biology/cellxgene/
Proper Citation: cellxgene (RRID:SCR_021059)
Description: Software tool as interactive explorer for single cell transcriptomics datasets. Used to explore and visualize high dimensional single cell datasets in interactive way. Can visualize gene expression at level of entire dataset or particular subset of cells to help identify cell types, which can in turn help identify diseases. Enables plotting gene expression level against another gene to compare how these different genes are expressed across dataset. Open source cell visualization tool integrates with tools like SciPy and Jupyter.
Resource Type: software resource, data visualization software, software application, data processing software
Keywords: Single cell transcriptomics datasets explorer, gene expression visualization, identify cell types, identify diseases, plotting gene expression level
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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