Skip to content

Update _index.md #156

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 1 commit into from
Closed

Update _index.md #156

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion content/about/mission/_index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ We as scverse® want to make analysis tools for omics data in the life sciences
The growing adoption of Python for single-cell omics data analysis has been catalyzed by [Scanpy](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1382-0) and [AnnData](https://anndata.readthedocs.io/en/latest/).
Around this infrastructure an ecosystem of packages has been created by various developers and institutions — extending single-cell analysis to different modalities and addressing challenges at the cutting-edge of single-cell research. We believe that progress in this field can't be silo'd to a few groups. To further nurture the growth of this ecosystem, we've formed a new organization -- **`scverse`**.

`scverse®` is a consortium of tools with users and developers across the world. To sustain the utility and growth of the ecosystem, it’s essential that the core analytic tools are robust and well-maintained. This entails consistent support and improvement of tools beyond what's possible in the conventional single-lab academic setting.
`scverse` is a consortium of tools with users and developers across the world. To sustain the utility and growth of the ecosystem, it’s essential that the core analytic tools are robust and well-maintained. This entails consistent support and improvement of tools beyond what's possible in the conventional single-lab academic setting.

`scverse` provides high quality infrastructure for analysis of single cell omics data. These *core* tools are well documented, tested, and provide broad functionality. They work with standardized data structures which use common Python numeric types and have interchange-friendly on-disk formats.

Expand Down