https://github.com/broadinstitute/pyro-cov

Pyro models of SARS-CoV-2 variants

https://github.com/broadinstitute/pyro-cov

Science Score: 54.0%

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
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: medrxiv.org, science.org, zenodo.org
  • Committers with academic emails
    3 of 8 committers (37.5%) from academic institutions
  • Institutional organization owner
    Organization broadinstitute has institutional domain (www.broadinstitute.org)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.7%) to scientific vocabulary

Keywords

epidemiology genetics sars-cov-2

Keywords from Contributors

sequences
Last synced: 5 months ago · JSON representation

Repository

Pyro models of SARS-CoV-2 variants

Basic Info
  • Host: GitHub
  • Owner: broadinstitute
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 424 MB
Statistics
  • Stars: 78
  • Watchers: 14
  • Forks: 30
  • Open Issues: 12
  • Releases: 2
Topics
epidemiology genetics sars-cov-2
Created over 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License

README.md

Github Release DOI

Pyro models for SARS-CoV-2 analysis

Overview

Supporting material for the paper "Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness" (medRxiv). Figures and supplementary data for that paper are in the paper/ directory.

This is open source, but we are not intending to support code for use by outside groups. To use outputs of this model, we recommend ingesting the tables strains.tsv and mutations.tsv.

Reproducing

Install software

Clone this repository: sh git clone git@github.com:broadinstitute/pyro-cov cd pyro-cov

Install this python package: py pip install -e .

Get access to GISAID data

Work with GISAID to get a data agreement. Define the following environment variables: GISAID_USERNAME GISAID_PASSWORD GISAID_FEED For example my username is fritz and my gisaid feed is broad2.

Download data

This downloads data from GISAID and clones repos for other data sources. sh make update

Preprocess data

This takes under an hour. Results are cached in the results/ directory, so re-running on newly pulled data should be able to re-use alignment and PANGOlineage classification work. sh make preprocess

Analyze data

sh make analyze

Generate plots and tables

Plots and tables are generated by running various notebooks: - mutrans.py - mutrans_backtesting.py - mutrans_gene.ipynb

Citing

If you use this software or predictions in the paper directory please consider citing:

@article {Obermeyer2021.09.07.21263228, author = {Obermeyer, Fritz and Schaffner, Stephen F. and Jankowiak, Martin and Barkas, Nikolaos and Pyle, Jesse D. and Park, Daniel J. and MacInnis, Bronwyn L. and Luban, Jeremy and Sabeti, Pardis C. and Lemieux, Jacob E.}, title = {Analysis of 2.1 million SARS-CoV-2 genomes identifies mutations associated with transmissibility}, elocation-id = {2021.09.07.21263228}, year = {2021}, doi = {10.1101/2021.09.07.21263228}, publisher = {Cold Spring Harbor Laboratory Press}, URL = {https://www.medrxiv.org/content/early/2021/09/13/2021.09.07.21263228}, eprint = {https://www.medrxiv.org/content/early/2021/09/13/2021.09.07.21263228.full.pdf}, journal = {medRxiv} }

Owner

  • Name: Broad Institute
  • Login: broadinstitute
  • Kind: organization
  • Location: Cambridge, MA

Broad Institute of MIT and Harvard

GitHub Events

Total
  • Watch event: 1
  • Fork event: 2
Last Year
  • Watch event: 1
  • Fork event: 2

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 917
  • Total Committers: 8
  • Avg Commits per committer: 114.625
  • Development Distribution Score (DDS): 0.157
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Fritz Obermeyer f****r@g****m 773
barkasn n****s@o****m 53
nikolas.barkas@outlook.com n****s@b****g 37
martin jankowiak j****k@g****m 29
bkotzen b****n@m****u 15
jy17 l****x@b****g 7
Cornelius Roemer c****r@g****m 2
martin jankowiak m****i@b****o 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 32
  • Total pull requests: 77
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 10 days
  • Total issue authors: 19
  • Total pull request authors: 6
  • Average comments per issue: 3.63
  • Average comments per pull request: 0.22
  • Merged pull requests: 70
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 15
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 15
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • smruti241 (3)
  • fritzo (3)
  • corneliusroemer (2)
  • liamxg (2)
  • Shicheng-Guo (2)
  • omarcr (1)
  • Sanyukta2001 (1)
  • lingxuan85511 (1)
  • lucadesabato (1)
  • yzy990924 (1)
  • cwhittaker1000 (1)
  • sweety919 (1)
  • ShaneSchroeder (1)
  • liyupeng111 (1)
  • joicy (1)
Pull Request Authors
  • bkotzen (56)
  • barkasn (5)
  • fritzo (4)
  • martinjankowiak (2)
  • corneliusroemer (2)
  • JacobLemieux (1)
Top Labels
Issue Labels
question (6) enhancement (4) bug (3) help wanted (2) invalid (1)
Pull Request Labels
enhancement (1)

Dependencies

setup.py pypi
  • biopython >=1.54
  • colorcet *
  • geopy *
  • gpytorch *
  • mappy *
  • protobuf *
  • pyro-ppl >=1.7
  • scikit-learn *
  • tqdm *
  • umap-learn *
.github/workflows/ci.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite