fork/cellxgene
1
0
Fork 0
mirror of https://github.com/chanzuckerberg/cellxgene.git synced 2026-10-09 06:38:12 +08:00
Code Issues Packages Projects Releases Wiki Activity

remove core team section (#1798)

Browse Source
This commit is contained in:
Ambrose J Carr
2020-09-02 20:22:31 -04:00
committed by GitHub
parent 0a27b2923a
commit 5781879da5
1 changed files with 1 additions and 17 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+1 -17
View File
@@ -79,23 +79,7 @@ This project was started with the sole goal of empowering the scientific communi
If you believe you have found a security issue, we would appreciate notification. Please send email to <security@chanzuckerberg.com>. If you believe you have found a security issue, we would appreciate notification. Please send email to <security@chanzuckerberg.com>.
# About # Inspiration
### Core team
The current core team:
- Colin Megill, frontend & product design
- Bruce Martin, software engineer
- Sidney Bell, computational biologist
- Lia Prins, designer
- Severiano Badajoz, software engineer
We would also like to gratefully acknowledge contributions from past core team members:
- Charlotte Weaver, software engineer
### Inspiration
We've been heavily inspired by several other related single-cell visualization projects, including the [UCSC Cell Browswer](http://cells.ucsc.edu/), [Cytoscape](http://www.cytoscape.org/), [Xena](https://xena.ucsc.edu/), [ASAP](https://asap.epfl.ch/), [Gene Pattern](http://genepattern-notebook.org/), and many others. We hope to explore collaborations where useful as this community works together on improving interactive visualization for single-cell data. We've been heavily inspired by several other related single-cell visualization projects, including the [UCSC Cell Browswer](http://cells.ucsc.edu/), [Cytoscape](http://www.cytoscape.org/), [Xena](https://xena.ucsc.edu/), [ASAP](https://asap.epfl.ch/), [Gene Pattern](http://genepattern-notebook.org/), and many others. We hope to explore collaborations where useful as this community works together on improving interactive visualization for single-cell data.