https://github.com/kundajelab/v2f-frontend

https://github.com/kundajelab/v2f-frontend

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.8%) to scientific vocabulary
Last synced: 4 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: kundajelab
  • License: apache-2.0
  • Language: JavaScript
  • Default Branch: main
  • Size: 5 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Archived
Created about 3 years ago · Last pushed 9 months ago
Metadata Files
Readme Contributing License

README.md

Variant2Function Frontend App (ARCHIVED)

PLEASE NOTE THIS REPO IS NO LONGER ACTIVE. PLEASE SEE THE E2G REPOSITORY, WHICH USES THE UPDATED OPENTARGETS PLATFORM FRONTEND. THIS REPO IS BASED ON THE DEPRECATED OPENTARGETS GENETICS PLATFORM.

This repo contains the web application code for Variant2Function.

It is one component of several and the overarching project is described here, which is also where issues can be raised.

Installation

Before developing or building for production, you will need to follow these steps:

Clone the repo.

git clone https://github.com/opentargets/genetics-app.git

Enter the directory.

cd genetics-app

Install the dependencies.

yarn install

Development

Start the dev server.

yarn start

Build

Build for production (generates a static build directory).

yarn build

Deployment

We deploy the public version of this site on Netlify. See the netlify.toml for more detail.

Contribute

Read our contributing guidelines.

Special Thanks

BrowserStack has allowed us to do cross-browser testing of the genetics app at no cost. BrowserStack

Copyright

Copyright 2014-2018 Biogen, Celgene Corporation, EMBL - European Bioinformatics Institute, GlaxoSmithKline, Takeda Pharmaceutical Company and Wellcome Sanger Institute

This software was developed as part of the Open Targets project. For more information please see: http://www.opentargets.org

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Owner

  • Name: Kundaje Lab
  • Login: kundajelab
  • Kind: organization
  • Location: Stanford University

Compbio and machine learning code repositories from the Kundaje Lab at Stanford Genetics and Computer Science Depts.

GitHub Events

Total
  • Issues event: 61
  • Watch event: 1
  • Delete event: 5
  • Issue comment event: 21
  • Push event: 53
  • Public event: 1
  • Pull request event: 53
  • Pull request review event: 9
  • Create event: 27
Last Year
  • Issues event: 61
  • Watch event: 1
  • Delete event: 5
  • Issue comment event: 21
  • Push event: 53
  • Public event: 1
  • Pull request event: 53
  • Pull request review event: 9
  • Create event: 27

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 31
  • Total pull requests: 26
  • Average time to close issues: 24 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 0.48
  • Average comments per pull request: 0.04
  • Merged pull requests: 23
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 31
  • Pull requests: 26
  • Average time to close issues: 24 days
  • Average time to close pull requests: 3 days
  • Issue authors: 4
  • Pull request authors: 2
  • Average comments per issue: 0.48
  • Average comments per pull request: 0.04
  • Merged pull requests: 23
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • engreitz (17)
  • riyavsinha (10)
  • mayasheth (2)
  • mikelove (1)
Pull Request Authors
  • riyavsinha (17)
  • angel8argz (9)
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