https://github.com/open2c/gsoc
Google Summer of Code - Open2C
https://github.com/open2c/gsoc
Last synced: 4 months ago
JSON representation
Google Summer of Code - Open2C
- Host: GitHub
- URL: https://github.com/open2c/gsoc
- Owner: open2c
- Created: 2024-03-18T21:54:04.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-19T00:58:08.000Z (about 2 years ago)
- Last Synced: 2025-04-24T01:14:05.011Z (about 1 year ago)
- Size: 11.7 KB
- Stars: 0
- Watchers: 8
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
Awesome Lists containing this project
README
# Google Summer of Code
This Git repository stores information about Open2C's participation in Google Summer of Code. It is based off the [NumFOCUS GSoC materials](https://github.com/numfocus/gsoc).
Four of Open2C's libraries are NumFOCUS affiliated projects: [cooler](https://github.com/open2c/cooler), [cooltools](https://github.com/open2c/cooltools), [pairtools](https://github.com/open2c/pairtools), and [bioframe](https://github.com/open2c/bioframe).
Note that while NumFOCUS serves as a GSOC umbrella mentor organization most years, this year Open2C is operating as a separate GSoC mentor organization, which means that any Open2C project, including those beyond the four above are eligible for GSoC projects! You can take a look at all projects in our GitHub organization [profile](https://github.com/open2c/).
## Students
Read the [student guide](CONTRIBUTING.md) to learn how to apply for the GSoC program with Open2C. Please also check out our [ideas list](https://github.com/open2c/open2c.github.io/wiki/GSoC-2024).
For any questions, please open an issue in our [issue tracker](https://github.com/open2c/gsoc/issues) or reach out on Slack.
## About us
Open2C
Open2C is a community that develops and maintains open-source tools for 3D chromosome biology and genomic data science, primarily in Python. Most of the tools are focused on the analysis of data obtained using Hi-C and related technologies. We like our tools to be easy to use, flexible, to facilitate active development of novel analytical approaches, and scalable, to make use of the latest and largest datasets.
Website | Ideas Page | Slack | Source Code