From ded35c725235943df10e56c52e4a99ee10f2f467 Mon Sep 17 00:00:00 2001
From: Matt Weiden <538456+mweiden@users.noreply.github.com>
Date: Wed, 26 Feb 2020 11:12:16 -0800
Subject: [PATCH] Spelling fix in Compatibility Test workflow (#1178)

---
 .github/workflows/compatibility_tests.yml | 2 +-
 README.md                                 | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/compatibility_tests.yml b/.github/workflows/compatibility_tests.yml
index 3d193792..64d8049e 100644
--- a/.github/workflows/compatibility_tests.yml
+++ b/.github/workflows/compatibility_tests.yml
@@ -1,4 +1,4 @@
-name: Compatability Tests
+name: Compatibility Tests
 
 on:
   schedule:
diff --git a/README.md b/README.md
index 401dcdc9..9f511fe2 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ _an interactive explorer for single-cell transcriptomics data_
 
 [![DOI](https://zenodo.org/badge/105615409.svg)](https://zenodo.org/badge/latestdoi/105615409) [![PyPI](https://img.shields.io/pypi/v/cellxgene)](https://pypi.org/project/cellxgene/) [![PyPI - Downloads](https://img.shields.io/pypi/dm/cellxgene)](https://pypistats.org/packages/cellxgene) [![GitHub last commit](https://img.shields.io/github/last-commit/chanzuckerberg/cellxgene)](https://github.com/chanzuckerberg/cellxgene/pulse)
 ![Push Tests](https://github.com/chanzuckerberg/cellxgene/workflows/Push%20Tests/badge.svg)
-![Compatability Tests](https://github.com/chanzuckerberg/cellxgene/workflows/Compatability%20Tests/badge.svg)
+![Compatibility Tests](https://github.com/chanzuckerberg/cellxgene/workflows/Compatibility%20Tests/badge.svg)
 ![Code Coverage](https://codecov.io/gh/chanzuckerberg/cellxgene/branch/master/graph/badge.svg)
 
 cellxgene (pronounced "cell-by-gene") is an interactive data explorer for single-cell transcriptomics datasets, such as those coming from the [Human Cell Atlas](https://humancellatlas.org). Leveraging modern web development techniques to enable fast visualizations of at least 1 million cells, we hope to enable biologists and computational researchers to explore their data.