fhr-file-converter
A file converter and validator for the FHR header and its serializations.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 15 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.0%) to scientific vocabulary
Repository
A file converter and validator for the FHR header and its serializations.
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 2
Metadata Files
README.md
FHR-File-Converter
This is the fhr file converter, it can convert fhr inbetween json, fasta, microdata, and fasta header. If you would like a detailed specification of fhr, see FHR-Specification
Installation
You can intall the FHR file converter via pypi:
bash
pip install fhr
You can also install the FHR file converter and its dependencies using Poetry (by first downloading the repo or release):
bash
poetry install
Usage
Commnand line Usage
Using FHR on the command line:
bash
fhr-convert <input>.<yaml|json|fasta|html> <output>.<yaml|json|fasta|html>
Detailed Usage:
```
usage: fhr-convert [-h] [--version]
Convert from one FHR supported file type to another
positional arguments:
optional arguments: -h, --help show this help message and exit --version show program's version number and exit
positional
output files can be one of:
<output>.yml
<output>.fasta - fasta output type will be made as a fasta header without sequences
<output>.html - microdata output type will be made into generic html output
```
Validating an FHR file on command line
bash
fhr-validate <input>.<yaml|json|fasta|html>
Detailed Usage:
```
usage: fhr-validate [-h] [--version]
Validate a fhr containing file
positional
As such validating a yaml file named "important_genome.fhr.yml" would be:
fhr-validate important_genome.fhr.yml
Other FHR Tools
FHR has several other command line tools:
fhr_fasta_combine- combine a fhr header in any serialization with an existing fasta filefhr_fasta_strip- remove a fhr header out of a fasta filefhr_fasta_validate- check an fhr containing fasta against its checksumfhr_gfa_combine- combine a fhr header in any serilaization with an existing gfa filefhr_gfa_strip- remove an fhr header our of a gfa filefhr_gfa_validate- check an fhr containing gfa against its checksum
Using FHR in Python
To use FHR libabry in Python
```python
from fhr import fhr file = open("example.yaml") data = fhr() data.inputyaml(file.read()) data.outputfasta() ";~schema: https://raw.githubusercontent.com/FFRGS/FFRGS-Specification/main/fhr.json\n;~schemaVersion: 1\n;~genome: Bombas huntii\n;~version: 0.0.1\n;~author:;~ name:Adam Wright\n;~ url:https://wormbase.org/resource/person/WBPerson30813\n;~assembler:;~ name:David Molik\n;~ url:https:/david.molik.co/person\n;~place:;~ name:PBARC\n;~ url:https://www.ars.usda.gov/pacific-west-area/hilo-hi/daniel-k-inouye-us-pacific-basin-agricultural-research-center/\n;~taxa: Bombas huntii\n;~assemblySoftware: HiFiASM\n;~physicalSample: Located in Freezer 33, Drawer 137\n;~dateCreated: 2022-03-21\n;~instrument: ['Sequel IIe', 'Nanopore']\n;~scholarlyArticle: https://doi.org/10.1371/journal.pntd.0008755\n;~documentation: Built assembly from... \n;~identifier: ['gkx10242566416842']\n;~relatedLink: ['https/david.molik.co/genome']\n;~funding: some\n;~reuseConditions: public domain\n" ```
Checksums
The FHR stores checksums, allowing the FASTA header of the reference genome to contain the checksum for the FASTA file without the header.
To utilize the checksum, strip the FASTA header:
bash
cat example.fasta | grep -E -v '^;~\s?checksum' > example.check.fasta
To strip the checksum:
bash
cat example.fasta | grep -E ';~\s?checksum' | sed 's/^;~checksum://g' | sed '/\'//g'
Docker Support
You can also run the FHR file converter in a Docker container. To build the Docker image:
bash
docker build -t fhr-file-converter .
And then run the Docker container:
bash
docker run -it --rm fhr-file-converter
Running Code Quality Checks
Ensuring code quality is crucial for maintaining a healthy and sustainable codebase. The following tools help enforce coding standards and best practices:
isort
isort is a tool that sorts Python imports alphabetically within each section and separated by a blank line. It ensures consistent import styles across your project.
To run isort, use the following command:
bash
poetry run isort .
ruff
ruff is a lightweight linter for Python that aims to detect common programming errors, stylistic issues, and code smells. It provides quick feedback on potential issues in your code.
To run ruff, use the following command:
bash
poetry run ruff .
black
black is an uncompromising Python code formatter. It reformats entire files in place to ensure a consistent and readable code style. It's opinionated and strives for the smallest diffs possible.
To run black, use the following command:
bash
poetry run black .
Running these code quality checks regularly helps maintain a clean and consistent codebase, making it easier to collaborate with others and ensuring code readability and maintainability. These checks are required to pass in order to pull changes into the main branch.
pytest
Make sure you install depedencies first and then run the tests with poetry
bash
poetry run install
poetry run pytest
Citing FHR
Information on Citations of FHR
Citing the Validation Tool
cite the validation tool when directly interacting with the tool or library The APA citation for the FHR validation/converter software is:
Molik, D., & Wright, A. FHR File Converster [Computer software]. https://github.com/FAIR-bioHeaders/FHR-File-Converter
Or in bibtex:
bibtex
% Citation For FHR Validation/Converter Software
@software{FHR_File_Converter,
author = {Molik, David and Wright, Adam},
year = {2023},
license = {PDDL-1.0},
title = {{FHR File Converster}},
url = {https://github.com/FAIR-bioHeaders/FHR-File-Converter},
doi = {10.5281/zenodo.6762547}
}
Citing the Specification
cite the specification when directly interacting with the specification (pull requests, comments on schema) The APA citation for the FHR specification is:
Molik, D., & Wright, A. FHR Specification [Data set]. https://github.com/FAIR-bioHeaders/FHR-Specification
Or in bibtex:
bibtex
% Citation For FHR Specification
@misc{FHR_Specification,
author = {Molik, David and Wright, Adam},
year = {2023},
title = {{FHR Specification}},
url = {https://github.com/FAIR-bioHeaders/FHR-Specification},
doi = {10.5281/zenodo.6762549}
}
Citing FHR
The APA citation for the FHR Briefings in Bioinformatics is:
Adam Wright, Mark D Wilkinson, Christopher Mungall, Scott Cain, Stephen Richards, Paul Sternberg, Ellen Provin, Jonathan L Jacobs, Scott Geib, Daniela Raciti, Karen Yook, Lincoln Stein, David C Molik, FAIR Header Reference genome: a TRUSTworthy standard, Briefings in Bioinformatics, Volume 25, Issue 3, May 2024, bbae122, https://doi.org/10.1093/bib/bbae122
Or in bibtex:
bibtex
% Citation For FHR
@article{10.1093/bib/bbae122,
author = {Wright, Adam and Wilkinson, Mark D and Mungall, Christopher and Cain, Scott and Richards, Stephen and Sternberg, Paul and Provin, Ellen and Jacobs, Jonathan L and Geib, Scott and Raciti, Daniela and Yook, Karen and Stein, Lincoln and Molik, David C},
title = "{FAIR Header Reference genome: a TRUSTworthy standard}",
journal = {Briefings in Bioinformatics},
volume = {25},
number = {3},
pages = {bbae122},
year = {2024},
month = {03},
abstract = "{The lack of interoperable data standards among reference genome data-sharing platforms inhibits cross-platform analysis while increasing the risk of data provenance loss. Here, we describe the FAIR bioHeaders Reference genome (FHR), a metadata standard guided by the principles of Findability, Accessibility, Interoperability and Reuse (FAIR) in addition to the principles of Transparency, Responsibility, User focus, Sustainability and Technology. The objective of FHR is to provide an extensive set of data serialisation methods and minimum data field requirements while still maintaining extensibility, flexibility and expressivity in an increasingly decentralised genomic data ecosystem. The effort needed to implement FHR is low; FHR’s design philosophy ensures easy implementation while retaining the benefits gained from recording both machine and human-readable provenance.}",
issn = {1477-4054},
doi = {10.1093/bib/bbae122},
url = {https://doi.org/10.1093/bib/bbae122},
eprint = {https://academic.oup.com/bib/article-pdf/25/3/bbae122/57108923/bbae122.pdf},
}
Owner
- Name: FAIR bioHeaders
- Login: FAIR-bioHeaders
- Kind: organization
- Location: Canada
- Repositories: 2
- Profile: https://github.com/FAIR-bioHeaders
Multiple data serialized metadata for your favorite biology data.
Citation (CITATION.cff)
cff-version: 1.2.0
title: FHR File Converster
message: 'If you use this software, please cite it as below.'
type: software
authors:
- given-names: David
family-names: Molik
email: david.molik@usda.gov
affiliation: USDA ARS ABADRU
orcid: 'https://orcid.org/0000-0003-3192-6538'
- given-names: Adam
family-names: Wright
email: AWright@oicr.on.ca
affiliation: OICR
orcid: 'https://orcid.org/0000-0002-5719-4024'
identifiers:
- type: doi
value: 10.5281/zenodo.6762547
description: Zenodo DOI
- type: doi
value: 10.1101/2023.11.29.569306
description: Preprint DOI
repository-code: 'https://github.com/FAIR-bioHeaders/FHR-File-Converter'
url: 'https://github.com/FAIR-bioHeaders'
repository-artifact: 'https://github.com/FAIR-bioHeaders/FHR-Specification'
abstract: >-
The lack of interoperable data standards among reference
genome data-sharing platforms inhibits cross-platform
analysis while increasing the risk of data provenance
loss. Here, we describe the FAIR-bioHeaders Reference
genome (FHR), a metadata standard guided by the principles
of Findability, Accessibility, Interoperability, and Reuse
(FAIR) in addition to the principles of Transparency,
Responsibility, User focus, Sustainability, and Technology
(TRUST). The objective of FHR is to provide an extensive
set of data serialisation methods and minimum data field
requirements while still maintaining extensibility,
flexibility, and expressivity in an increasingly
decentralised genomic data ecosystem. The effort needed to
implement FHR is low; FHR’s design philosophy ensures easy
implementation while retaining the benefits gained from
recording both machine and human-readable provenance.
keywords:
- FAIR
- TRUST
- fasta
- yaml
- json
- gfa
- microdata
- genome assembly
license: PDDL-1.0
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 15
- Total pull requests: 6
- Average time to close issues: 9 months
- Average time to close pull requests: about 22 hours
- Total issue authors: 3
- Total pull request authors: 2
- Average comments per issue: 1.6
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- molikd (13)
- adamjohnwright (1)
- Woolly-at-EBI (1)
Pull Request Authors
- adamjohnwright (4)
- molikd (2)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- python 3.9 build
- argparse 1.4.0
- attrs 23.2.0
- flake8 7.0.0
- html5lib 1.1
- jsonschema 4.21.1
- jsonschema-specifications 2023.12.1
- mccabe 0.7.0
- microdata 0.8.0
- pycodestyle 2.11.1
- pyflakes 3.2.0
- referencing 0.33.0
- rpds-py 0.17.1
- six 1.16.0
- webencodings 0.5.1
- actions/checkout v3 composite
- codacy/codacy-analysis-cli-action d840f886c4bd4edc059706d09c6a1586111c540b composite
- github/codeql-action/upload-sarif v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/stale v5 composite