https://github.com/cdcgov/cfa-viral-lineage-model
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 5 committers (20.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.9%) to scientific vocabulary
Keywords from Contributors
Repository
Basic Info
- Host: GitHub
- Owner: CDCgov
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 3.93 MB
Statistics
- Stars: 11
- Watchers: 8
- Forks: 2
- Open Issues: 13
- Releases: 0
Metadata Files
README.md
cfa-viral-lineage-model
⚠️ The work in this repository is experimental, though currently not under active development. ⚠️
Overview
This repo hosts work on modeling how the composition of viral lineages, such as SARS-CoV-2 Pango lineages, changes over time.
The repo has the following structure:
linmod/, with a poetry package for downloading lineage count data, and fitting and evaluating models with this data; andretrospective-forecasting/, with code that uses this package to automate the retrospective evaluation of models.
Documentation
- Documentation for linmnod is best viewed with mkdocs. After cloning this repo and
poetry installing, runpoetry run mkdocs serve. - For use of the restrospective-forecasting pipeline, see the README.
Architecture
The model is provided with lightly-preprocessed data of variant sequences from humans in the USA, from Nextstrain (data dictionary).
An Apache Parquet is provided, with columns date, fd_offset, division, lineage, count.
Rows are uniquely identified by (date, division, lineage).
date and fd_offset can be computed from each other, given the forecast date.
Note that date is the sample collection date. fd refers to the forecast date. fd_offset is date - fd measured in days. Sequences are filtered to have a collection date no later than the forecast date.
| date | fd_offset | division | lineage | count | | ---------- | ---------- | ------------ | ------- | ----- | | 2024-05-07 | -12 | Arizona | 24A | 1 | | 2024-05-04 | -15 | Pennsylvania | 24A | 2 | | ... | ... | ... | ... | ... |
The model must output samples of population-level lineage proportions.
An Apache Parquet should be provided, with columns fd_offset, division, lineage, sample_index, and phi (the population proportion), for fd_offset = -30, ..., 14.
Rows are uniquely identified by (fd_offset, division, lineage, sample_index).
| fdoffset | division | lineage | sampleindex | phi | | ---------- | -------- | ------- | ------------ | -------------- | | -30 | Alabama | 22B | 1 | 0.000014979599 | | -30 | Alabama | 22B | 2 | 9.945703e-7 | | ... | ... | ... | ... | ... |
General Disclaimer
This repository was created for use by CDC programs to collaborate on public health related projects in support of the CDC mission. GitHub is not hosted by the CDC, but is a third party website used by CDC and its partners to share information and collaborate on software. CDC use of GitHub does not imply an endorsement of any one particular service, product, or enterprise.
Public Domain Standard Notice
This repository constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105. This repository is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication. All contributions to this repository will be released under the CC0 dedication. By submitting a pull request you are agreeing to comply with this waiver of copyright interest.
License Standard Notice
This repository is licensed under ASL v2 or later.
This source code in this repository is free: you can redistribute it and/or modify it under the terms of the Apache Software License version 2, or (at your option) any later version.
This source code in this repository 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 Apache Software License for more details.
You should have received a copy of the Apache Software License along with this program. If not, see http://www.apache.org/licenses/LICENSE-2.0.html
The source code forked from other open source projects will inherit its license.
Privacy Standard Notice
This repository contains only non-sensitive, publicly available data and information. All material and community participation is covered by the Disclaimer and Code of Conduct. For more information about CDC's privacy policy, please visit http://www.cdc.gov/other/privacy.html.
Contributing Standard Notice
Anyone is encouraged to contribute to the repository by forking and submitting a pull request. (If you are new to GitHub, you might start with a basic tutorial.) By contributing to this project, you grant a world-wide, royalty-free, perpetual, irrevocable, non-exclusive, transferable license to all users under the terms of the Apache Software License v2 or later.
All comments, messages, pull requests, and other submissions received through CDC including this GitHub page may be subject to applicable federal law, including but not limited to the Federal Records Act, and may be archived. Learn more at http://www.cdc.gov/other/privacy.html.
Records Management Standard Notice
This repository is not a source of government records but is a copy to increase collaboration and collaborative potential. All government records will be published through the CDC web site.
Owner
- Name: Centers for Disease Control and Prevention
- Login: CDCgov
- Kind: organization
- Email: data@cdc.gov
- Location: Atlanta, GA
- Website: http://open.cdc.gov/
- Twitter: CDCgov
- Repositories: 114
- Profile: https://github.com/CDCgov
CDC's collaborative software projects to protect America from health, safety, and security threats, both foreign and in the U.S.
GitHub Events
Total
- Issues event: 38
- Watch event: 1
- Delete event: 24
- Issue comment event: 59
- Push event: 101
- Pull request review event: 82
- Pull request review comment event: 78
- Pull request event: 52
- Fork event: 3
- Create event: 28
Last Year
- Issues event: 38
- Watch event: 1
- Delete event: 24
- Issue comment event: 59
- Push event: 101
- Pull request review event: 82
- Pull request review comment event: 78
- Pull request event: 52
- Fork event: 3
- Create event: 28
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Thanasi Bakis | a****s@u****u | 22 |
| afmagee42 | 1****2 | 16 |
| Scott Olesen | u****7@c****v | 4 |
| dependabot[bot] | 4****] | 2 |
| Boris Ning | 4****s | 1 |
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 39
- Total pull requests: 59
- Average time to close issues: 4 months
- Average time to close pull requests: 8 days
- Total issue authors: 3
- Total pull request authors: 4
- Average comments per issue: 0.62
- Average comments per pull request: 0.85
- Merged pull requests: 40
- Bot issues: 0
- Bot pull requests: 4
Past Year
- Issues: 19
- Pull requests: 35
- Average time to close issues: 6 months
- Average time to close pull requests: 14 days
- Issue authors: 3
- Pull request authors: 4
- Average comments per issue: 0.26
- Average comments per pull request: 1.11
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 4
Top Authors
Issue Authors
- afmagee42 (21)
- thanasibakis (14)
- swo (6)
Pull Request Authors
- afmagee42 (36)
- thanasibakis (36)
- swo (19)
- dependabot[bot] (4)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- cffi 1.16.0
- colorama 0.4.6
- exceptiongroup 1.2.1
- iniconfig 2.0.0
- jax 0.4.30
- jaxlib 0.4.30
- ml-dtypes 0.4.0
- multipledispatch 1.0.0
- numpy 2.0.0
- numpyro 0.15.0
- opt-einsum 3.3.0
- packaging 24.1
- pluggy 1.5.0
- polars 1.1.0
- pycparser 2.22
- pytest 8.2.2
- scipy 1.14.0
- tomli 2.0.1
- tqdm 4.66.4
- zstandard 0.22.0
- pytest ^8.2.2 develop
- numpy ^2.0.0
- numpyro ^0.15.0
- polars ^1.1.0
- python ^3.10
- scipy ^1.14.0
- zstandard ^0.22.0
- actions/cache v3 composite
- ./.github/actions/pre-commit * composite
- actions/checkout v3 composite
- actions/setup-python v3 composite