diff --git a/content/releases/2020-mar/working-with-release-files.md b/content/releases/2020-mar/working-with-release-files.md index c721c7bc..9a5a33fe 100644 --- a/content/releases/2020-mar/working-with-release-files.md +++ b/content/releases/2020-mar/working-with-release-files.md @@ -44,7 +44,7 @@ Some March 2020 Release files are used for interactive visualization in Single C Each Release dataset has gene expression matrices containing cell clustering information and annotated cell types. This annotated expression matrix is provided in two file formats: a loom and a h5ad. Both file types are named with an `“_annotated_v1”` suffix and can be found under Release Files on the March 2020 Release page. The normalized matrices were generated using the Cumulus workflow and annotated using published cell types (see more details in the [Methods](methods.md)). -Use the suggested code below to view annotated loom and h5ad files in [Pegasus](https://pegasus.readthedocs.io/en/latest/), [Seurat](https://satijalab.org/seurat/), and [SCANPY](https://github.com/theislab/scanpy). You can view the [Cumulus documentation](https://cumulus.readthedocs.io/en/latest/cumulus.html#load-cumulus-results-into-pegasus) to learn more about importing the annotated expression matrices into these Python and R resources. For the examples below, we use files from the 2020-Mar-Landscape-Adult-Liver-10x dataset. +Use the suggested code below to view annotated loom and h5ad files in [Pegasus](https://pegasus.readthedocs.io/en/latest/), [Seurat](https://satijalab.org/seurat/), and [SCANPY](https://github.com/theislab/scanpy). You can view the [Cumulus documentation](https://cumulus.readthedocs.io/en/latest/cumulus.html#load-cumulus-results-into-pegasus) to learn more about importing the annotated expression matrices into these Python and R resources. For the examples below, we use files from the 2020-Mar-Landscape-Adult-Liver-10x dataset. ### Pegasus [Pegasus](https://pegasus.readthedocs.io/en/latest/) is a Python package used by Cumulus for analyzing very large single-cell transcriptomes. The following example files were tested using Python v3.7.5 and Pegasus v0.16.11.