Add logo and favicon to docs (#880)

This commit is contained in:
Sidney Bell
2019-08-12 16:03:41 -07:00
committed by GitHub
parent fcaa30d7cc
commit 69e69f4dae
3 changed files with 9 additions and 5 deletions
+1
View File
@@ -17,6 +17,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1"> <meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="theme-color" content="#157878"> <meta name="theme-color" content="#157878">
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent"> <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
<link rel="shortcut icon" type="image/x-icon" href="cellxgene-favicon.png">
<link rel="stylesheet" href="{{ '/assets/css/style.css?v=' | append: site.github.build_revision | relative_url }}"> <link rel="stylesheet" href="{{ '/assets/css/style.css?v=' | append: site.github.build_revision | relative_url }}">
</head> </head>
<body> <body>
Binary file not shown.

After

Width:  |  Height:  |  Size: 312 B

+8 -5
View File
@@ -1,5 +1,8 @@
_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. <img src="cellxgene-logo.svg" width="300">
_an interactive 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.
## features ## features
#### flexible selections, coloring, and differential expression of your selected sets of cells #### flexible selections, coloring, and differential expression of your selected sets of cells
@@ -10,7 +13,7 @@ _cellxgene_ is an interactive data explorer for single-cell transcriptomics data
## quick start ## quick start
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) 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)
Install the package. Install the package.
``` bash ``` bash
@@ -23,14 +26,14 @@ Download an example [anndata](https://anndata.readthedocs.io/en/latest/) file
curl -o pbmc3k.h5ad https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/example-dataset/pbmc3k.h5ad curl -o pbmc3k.h5ad https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/example-dataset/pbmc3k.h5ad
``` ```
Launch _cellxgene_ Launch cellxgene
``` bash ``` bash
cellxgene launch pbmc3k.h5ad --open cellxgene launch pbmc3k.h5ad --open
``` ```
To explore more datasets already formatted for _cellxgene_, see [Data](data) or To explore more datasets already formatted for cellxgene, see [Data](data) or
visit [Getting Started](getting-started) to learn more about formatting your own visit [Getting Started](getting-started) to learn more about formatting your own
data for _cellxgene_. data for cellxgene.
## getting help ## getting help