Augur

Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens - Published in JOSS (2021)

https://github.com/nextstrain/augur

Science Score: 100.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    7 of 58 committers (12.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords from Contributors

clade sequences dna virus strain sars-cov-2 rna research nextstrain next-generation-sequencing

Scientific Fields

Sociology Social Sciences - 87% confidence
Mathematics Computer Science - 84% confidence
Last synced: 4 months ago · JSON representation ·

Repository

Pipeline components for real-time phylodynamic analysis

Basic Info
Statistics
  • Stars: 272
  • Watchers: 30
  • Forks: 136
  • Open Issues: 260
  • Releases: 84
Created over 9 years ago · Last pushed 4 months ago
Metadata Files
Readme Changelog License Citation

README.md

Build Status PyPI version install with bioconda Documentation Status License: AGPL v3 DOI

About Nextstrain

Nextstrain is an open-source project to harness the scientific and public health potential of pathogen genome data. We provide a continually-updated view of publicly available data with powerful analytics and visualizations showing pathogen evolution and epidemic spread. Our goal is to aid epidemiological understanding and improve outbreak response.

Resulting data and inferences are available live at the website nextstrain.org.

About Augur

Definition: One held to foretell events by omens.

Augur is the bioinformatics toolkit we use to track evolution from sequence and serological data. It provides a collection of commands which are designed to be composable into larger processing pipelines.

The output of augur is a series of JSONs that can be used to visualize your results using Auspice.

Quickstart

Follow instructions to install Augur. Try out an analysis of real virus data by completing the Zika tutorial.

Documentation

Citation

Huddleston J, Hadfield J, Sibley TR, Lee J, Fay K, Ilcisin M, Harkins E, Bedford T, Neher RA, Hodcroft EB, (2021). Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens. Journal of Open Source Software, 6(57), 2906, https://doi.org/10.21105/joss.02906

For other formats, refer to CITATION.cff.

License and copyright

Copyright 2014-2022 Trevor Bedford and Richard Neher.

Source code to Nextstrain is made available under the terms of the GNU Affero General Public License (AGPL). Nextstrain is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

Owner

  • Name: Nextstrain
  • Login: nextstrain
  • Kind: organization

Real-time tracking of pathogen evolution

JOSS Publication

Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens
Published
January 07, 2021
Volume 6, Issue 57, Page 2906
Authors
John Huddleston ORCID
Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
James Hadfield ORCID
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Thomas R. Sibley ORCID
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Jover Lee ORCID
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Kairsten Fay ORCID
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Misja Ilcisin ORCID
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Elias Harkins ORCID
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Trevor Bedford ORCID
Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Richard A. Neher ORCID
Biozentrum, University of Basel, Basel, Switzerland, Swiss Institute of Bioinformatics, Basel, Switzerland
Emma B. Hodcroft ORCID
Biozentrum, University of Basel, Basel, Switzerland, Swiss Institute of Bioinformatics, Basel, Switzerland, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
Editor
Mark A. Jensen ORCID
Tags
bioinformatics molecular biology human pathogens evolutionary biology

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."

preferred-citation:
  type: article
  title: "Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens"
  doi: "10.21105/joss.02906"
  journal: "Journal of Open Source Software"
  year: 2021
  month: 1
  volume: 6
  issue: 57
  start: 2906
  end: 2906

  authors:
    - family-names: Huddleston
      given-names:  John

    - family-names: Hadfield
      given-names:  James

    - family-names: Sibley
      given-names:  Thomas R.

    - family-names: Lee
      given-names:  Jover

    - family-names: Fay
      given-names:  Kairsten

    - family-names: Ilcisin
      given-names:  Misja

    - family-names: Harkins
      given-names:  Elias

    - family-names: Bedford
      given-names:  Trevor

    - family-names: Neher
      given-names:  Richard A.

    - family-names: Hodcroft
      given-names:  Emma B.

GitHub Events

Total
  • Create event: 141
  • Release event: 13
  • Issues event: 167
  • Watch event: 7
  • Delete event: 132
  • Issue comment event: 506
  • Push event: 506
  • Pull request review comment event: 330
  • Pull request review event: 377
  • Pull request event: 251
  • Fork event: 6
Last Year
  • Create event: 141
  • Release event: 13
  • Issues event: 167
  • Watch event: 7
  • Delete event: 132
  • Issue comment event: 506
  • Push event: 506
  • Pull request review comment event: 330
  • Pull request review event: 377
  • Pull request event: 251
  • Fork event: 6

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 4,317
  • Total Committers: 58
  • Avg Commits per committer: 74.431
  • Development Distribution Score (DDS): 0.808
Past Year
  • Commits: 423
  • Committers: 14
  • Avg Commits per committer: 30.214
  • Development Distribution Score (DDS): 0.522
Top Committers
Name Email Commits
Victor Lin 1****n 829
John Huddleston h****j@g****m 738
James Hadfield j****2@s****k 472
Trevor Bedford t****r@b****o 470
Richard Neher r****r@u****h 344
Jover Lee j****1@g****m 272
Thomas Sibley t****y@f****g 228
Richard Neher r****r@t****e 191
Emma Hodcroft e****t@g****m 157
Sidney Bell s****b@u****u 119
Eric Danielson e****n@t****m 87
Nextstrain bot h****o@n****g 65
Cornelius Roemer c****r@g****m 60
Barney Potter b****4@g****m 34
John SJ Anderson j****4@f****g 32
Benjamin Otter b****r@s****h 22
Eddie Lebow e****w 20
Elias Harkins e****s@g****m 15
Ryan Grout r****n@r****g 14
Richard Neher n****r@l****h 12
Dependabot 4****] 12
Kairsten Fay k****y@g****m 12
Jennifer Chang j****m@g****m 11
Anna Parker a****r@g****m 10
Venkata Sai Kiran Kollapudi s****n@s****m 8
Louise Moncla l****a@g****m 8
Christopher Tomkins-Tinch t****c@b****g 6
Mingye Wang a****6@g****m 6
Carol Willing c****e@w****m 5
Thomas A Caswell t****l@g****m 4
and 28 more...

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 381
  • Total pull requests: 750
  • Average time to close issues: 12 months
  • Average time to close pull requests: 4 months
  • Total issue authors: 46
  • Total pull request authors: 31
  • Average comments per issue: 1.95
  • Average comments per pull request: 1.85
  • Merged pull requests: 553
  • Bot issues: 0
  • Bot pull requests: 21
Past Year
  • Issues: 96
  • Pull requests: 266
  • Average time to close issues: 9 days
  • Average time to close pull requests: 8 days
  • Issue authors: 14
  • Pull request authors: 14
  • Average comments per issue: 0.88
  • Average comments per pull request: 1.41
  • Merged pull requests: 192
  • Bot issues: 0
  • Bot pull requests: 11
Top Authors
Issue Authors
  • victorlin (98)
  • corneliusroemer (75)
  • joverlee521 (67)
  • jameshadfield (40)
  • huddlej (21)
  • genehack (15)
  • tsibley (10)
  • trvrb (4)
  • sidneymbell (3)
  • Eric-CH-Chen (3)
  • biocyberman (2)
  • vanessazubach (2)
  • LauraU123 (2)
  • swantan (2)
  • willingc (2)
Pull Request Authors
  • victorlin (349)
  • joverlee521 (86)
  • corneliusroemer (64)
  • jameshadfield (55)
  • tsibley (39)
  • huddlej (31)
  • genehack (28)
  • dependabot[bot] (21)
  • rneher (21)
  • elebow (6)
  • j23414 (6)
  • vanguard737 (5)
  • trvrb (4)
  • emmahodcroft (3)
  • emollier (3)
Top Labels
Issue Labels
bug (142) enhancement (109) documentation (40) proposal (8) priority: high (6) easy problem (6) blocked (4) priority: low (4) duplicate (4) needs triage (4) moderate problem (4) please take this issue (3) low priority (3) office-hours (2) faq (2) VCF (2) moderate priority (2) request for comments (2) priority: moderate (1) needs information (1) v6 (1) revisit sometime (1) breaking (1) schema (1) question (1) Epic (1) high priority (1) discussion-forum (1) upstream (1) good first issue (1)
Pull Request Labels
breaking (23) dependencies (21) documentation (11) python (7) enhancement (4) bug (4) moderate priority (2) easy problem (2) needs triage (2) github_actions (2) v6 (1) high priority (1) VCF (1) revisit sometime (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 824 last-month
  • Total docker downloads: 71
  • Total dependent packages: 1
  • Total dependent repositories: 8
  • Total versions: 129
  • Total maintainers: 8
pypi.org: nextstrain-augur

A bioinformatics toolkit for phylogenetic analysis

  • Versions: 129
  • Dependent Packages: 1
  • Dependent Repositories: 8
  • Downloads: 824 Last month
  • Docker Downloads: 71
Rankings
Dependent packages count: 3.3%
Docker downloads count: 3.8%
Forks count: 4.4%
Stargazers count: 4.6%
Average: 5.0%
Dependent repos count: 5.3%
Downloads: 9.0%
Last synced: 4 months ago

Dependencies

.github/workflows/ci.yaml actions
  • actions/checkout v2 composite
  • actions/checkout v3 composite
  • actions/download-artifact v3 composite
  • actions/setup-python v3 composite
  • actions/upload-artifact v3 composite
  • codecov/codecov-action v2 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/release.yaml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v3 composite
.github/workflows/sync-redirects.yaml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
setup.py pypi
  • bcbio-gff *
  • biopython *
  • cvxopt *
  • isodate *
  • jsonschema *
  • networkx *
  • numpy *
  • packaging *
  • pandas *
  • phylo-treetime *
  • pyfastx *
  • scipy *
  • xopen *