A genomic variant analysis platform

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Author: Ryangguk Kim

Tags genomic, variant, analysis, interpretation, genome

Requires: Python >=3.8

Project description

OakVar logo

OakVar: Genomic Variant Analysis Platform

News

Greetings everyone!

I am thrilled to announce the OakVar Hackathon, an exciting opportunity to showcase your creativity and ingenuity by utilizing the power of OakVar! The challenge is to create something innovative with OakVar and submit it by April 21, 2023. The best part? The winner will receive a $100 cash prize, and all submissions will be listed in a blog post summarizing the hackathon.

The possibilities are endless - you can create anything with OakVar! Whether it’s connecting OakVar to ML/AI, building a chatbot using OakVar, embedding OakVar in a web app, creating a new module for OakVar, developing an app using OakVar annotation data, or building a personal genomics app with OakVar - let your imagination run wild.

OakVar Hackathon/Competition

Submission deadline: April 21, 2023 How to submit: Host your work on GitHub Prize: $100 cash prize for the winner

If you have any questions regarding the hackathon, please do not hesitate to ask at info@oakbioinformatics.com. We are excited to see what you will create!

Let the hackathon begin!

Mission

  • OakVar is a bridge between cutting-edge genomics research and everyday people.

  • OakVar democratizes access to genomics knowledge for all.

What it does

  • Annotate genomic variants with diverse annotation sources.

  • Make databases of annotated variants.

  • Query annotated variants with filter sets.

  • Make reports in diverse formats.

  • Visualize annotated variants with graphical user interface.

  • Works via CLI and GUI.

  • Easily develop, run, and distribute CLI and GUI genomics apps. OakVar acts as an operating system for genomics apps.

  • Connect genomic data to AI/ML models.

Internship (currently full)

The main project will be OakVar. Full remote work. Unpaid position (no funding yet). Please send your application to rkim@oakbioinformatics.com.

Resources

Ready to start? OakVar Documentation

Subscribe to the mailing list: Be in the loop and notified of the new releases and news of OakVar.

Medium: https://medium.com/oakvar

Discord: https://discord.gg/wZfkTMKTjG

Reddit: https://www.reddit.com/r/oakvar

Email: rkim@oakbioinformatics.com

Many Thanks to Our Sponsors

Organizational Sponsors

Just DNA-Seq

Individual Sponsors

RegenCenter

License

OakVar is licensed under dual licensing: 1) APGL v3 or higher and 2) paid subscription for commercial use. For full license information, see LICENSE.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for oakbioinformatics from gravatar.com oakbioinformatics

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

Author: Ryangguk Kim

Tags genomic, variant, analysis, interpretation, genome

Requires: Python >=3.8


Release history Release notifications | RSS feed

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