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<meta name="viewport" content="width=device-width, initial-scale=1">
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<meta name="theme-color" content="#157878">
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<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
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<link rel="shortcut icon" type="image/x-icon" href="cellxgene-favicon.png">
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<link rel="stylesheet" href="{{ '/assets/css/style.css?v=' | append: site.github.build_revision | relative_url }}">
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</head>
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<body>
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_cellxgene_ is an interactive data explorer for single-cell transcriptomics data. Whether you need to visualize one thousand cells or one million, _cellxgene_ helps you gain insight into your single-cell data.
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<img src="cellxgene-logo.svg" width="300">
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_an interactive explorer for single-cell transcriptomics data_
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Whether you need to visualize one thousand cells or one million, cellxgene helps you gain insight into your single-cell data.
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## features
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#### flexible selections, coloring, and differential expression of your selected sets of cells
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## quick start
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To install _cellxgene_ you need Python 3.6+. We recommend [installing _cellxgene_ into a conda or virtual environment.](/faq.html#how-do-i-create-a-python-environment-for-cellxgene)
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To install cellxgene you need Python 3.6+. We recommend [installing cellxgene into a conda or virtual environment.](/faq.html#how-do-i-create-a-python-environment-for-cellxgene)
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Install the package.
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``` bash
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@@ -23,14 +26,14 @@ Download an example [anndata](https://anndata.readthedocs.io/en/latest/) file
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curl -o pbmc3k.h5ad https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/example-dataset/pbmc3k.h5ad
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```
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Launch _cellxgene_
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Launch cellxgene
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``` bash
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cellxgene launch pbmc3k.h5ad --open
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```
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To explore more datasets already formatted for _cellxgene_, see [Data](data) or
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To explore more datasets already formatted for cellxgene, see [Data](data) or
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visit [Getting Started](getting-started) to learn more about formatting your own
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data for _cellxgene_.
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data for cellxgene.
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## getting help
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