Cleaned up readme.md

readme.md

@@ -1,40 +1,22 @@
 [![Python code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black "Black: The Uncompromising Code Formatter")
 ![Docs](https://github.com/gerlichlab/spoc/actions/workflows/build_pages.yml/badge.svg)
 ![Code style](https://github.com/gerlichlab/spoc/actions/workflows/black_lint_test.yml/badge.svg)
+[![license](https://img.shields.io/github/license/pydantic/pydantic.svg)](https://github.com/pydantic/pydantic/blob/main/LICENSE)
 
 # Spoc
 
 Spoc is a toolbox for analyzing higher-order contact data from pore-c experiments. It is capable of handling sister-specific contact information to use in the context of sister-sensitive pore-c experiments.
 
-## Installation
-
-The easiest way to install spoc is to use pip:
-
-```
-pip install git+https://github.com/gerlichlab/spoc
-```
-
-## Getting started
-
-To get started, have a look at our example notebooks, that cover different aspects of spoc's capabilities:
-
-- [Snipping interface](./notebooks/snipping.ipynb)
-
 ## Documentation
 
-* Documentation: https://spoc.readthedocs.io.
-
-## Development information
+Documentation can be found [here](https://gerlichlab.github.io/spoc/)
 
-The development principles are summarized [here](docs/dev_notes.md).
+## Contributions
 
-## License
 
-* Free software: MIT license
+Contributions are welcome! Please follow the guidelines in [here](https://gerlichlab.github.io/spoc/contributing/) to contribute to this project.
 
-## Credits
 
-This package was created with Cookiecutter and the `audreyr/cookiecutter-pypackage` project template.
+## License
 
-* Cookiecutter: https://github.com/audreyr/cookiecutter
-* `audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
+* Free software: MIT license