pxblat
PxBLAT: An Efficient and Ergonomic Python Binding Library for BLAT
Science Score: 59.0%
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
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: biorxiv.org -
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.2%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
PxBLAT: An Efficient and Ergonomic Python Binding Library for BLAT
Basic Info
- Host: GitHub
- Owner: ylab-hi
- License: other
- Language: C
- Default Branch: main
- Homepage: https://pxblat.readthedocs.io/en/latest/
- Size: 60.9 MB
Statistics
- Stars: 17
- Watchers: 2
- Forks: 0
- Open Issues: 3
- Releases: 24
Topics
Metadata Files
README.md
PxBLAT 
An Efficient and Ergonomic Python Binding Library for BLAT
Why PxBLAT?
When conducting extensive queries, using the blat of BLAT suite can prove to be quite inefficient, especially if these operations aren't grouped. The tasks are allocated sporadically, often interspersed among other tasks.
In general, the choice narrows down to either utilizing blat or combining gfServer with gfClient.
Indeed, blat is a program that launches gfServer, conducts the sequence query via gfClient, and then proceeds to terminate the server.
This approach is far from ideal when performing numerous queries that aren't grouped since blat repeatedly initializes and shuts down gfServer for each query, resulting in substantial overhead.
This overhead consists of the time required for the server to index the reference, contingent on the reference's size.
To index the human genome (hg38), for example, would take approximately five minutes.
A more efficient solution would involve initializing gfServer once and invoking gfClient multiple times for the queries.
However, gfServer and gfClient are only accessible via the command line.
This necessitates managing system calls (for instance, subprocess or os.system), intermediate temporary files, and format conversion, further diminishing performance.
That is why PxBLAT holds its position.
It resolves the issues mentioned above while introducing handy features like port retry, use current running server, etc.
Table of Contents
Features
- Zero System Calls: Avoids system calls, leading to a smoother, quicker operation.
- Ergonomics: With an ergonomic design,
PxBLATaims for a seamless user experience. - No External Dependencies:
PxBLAToperates independently without any external dependencies. - Self-Monitoring: No need to trawl through log files;
PxBLATmonitors its status internally. - Robust Validation: Extensively tested to ensure reliable performance and superior stability as BLAT.
- Format-Agnostic:
PxBLATdoesn't require you to worry about file formats. - In-Memory Processing:
PxBLATdiscards the need for intermediate files by doing all its operations in memory, ensuring speed and efficiency.
Citation
PxBLAT is scientific software, with a published paper in the BioRxiv. Check the published to read the paper.
bibtex
@article{li2024pxblat,
author = {Li, Yangyang and Yang, Rendong},
title = {{PxBLAT: an efficient python binding library for BLAT}},
journal = {BMC Bioinf.},
volume = {25},
number = {1},
pages = {1--8},
year = {2024},
month = {12},
issn = {1471-2105},
publisher = {BioMed Central},
doi = {10.1186/s12859-024-05844-0}
}
Getting Started
Welcome to PxBLAT! To kickstart your journey and get the most out of this tool, we have prepared a comprehensive documentation. Inside, youll find detailed guides, examples, and all the necessary information to help you navigate and utilize PxBLAT effectively.
Need Help or Found an Issue?
If you encounter any issues or if something is not clear in the documentation, do not hesitate to open an issue. We are here to help and appreciate your feedback for improving PxBLAT.
Show Your Support
If PxBLAT has been beneficial to your projects or you appreciate the work put into it, consider leaving a Star on our GitHub repository. Your support means the world to us and motivates us to continue enhancing PxBLAT.
Lets embark on this journey together and make the most out of PxBLAT! Please see the document for details and more examples.
Contributing
Contributions are always welcome! Please follow these steps:
- Fork the project repository. This creates a copy of the project on your account that you can modify without affecting the original project.
- Clone the forked repository to your local machine using a Git client like Git or GitHub Desktop.
- Create a new branch with a descriptive name (e.g.,
new-feature-branchorbugfix-issue-123).
bash
git checkout -b new-feature-branch
- Take changes to the project's codebase.
- Install the latest package
bash
poetry install
- Test your changes
bash
pytest -vlsx tests
- Commit your changes to your local branch with a clear commit message that explains the changes you've made.
bash
git commit -m 'Implemented new feature.'
- Push your changes to your forked repository on GitHub using the following command
bash
git push origin new-feature-branch
Create a pull request to the original repository. Open a new pull request to the original project repository. In the pull request, describe the changes you've made and why they're necessary. The project maintainers will review your changes and provide feedback or merge them into the main branch.
License
PxBLAT is modified from blat, the license is the same as blat. The source code and executables are freely available for academic, nonprofit, and personal use. Commercial licensing information is available on the Kent Informatics website (https://kentinformatics.com/).
Contributors
yangliz5 |
Joshua Zhuang |
Acknowledgments
Owner
- Name: YangLab@Northwestern
- Login: ylab-hi
- Kind: organization
- Website: https://ylab-hi.github.io/
- Repositories: 5
- Profile: https://github.com/ylab-hi
This repo stores the codes for Yang lab projects
GitHub Events
Total
- Issues event: 1
- Watch event: 1
- Delete event: 92
- Issue comment event: 110
- Push event: 86
- Pull request event: 183
- Create event: 90
Last Year
- Issues event: 1
- Watch event: 1
- Delete event: 92
- Issue comment event: 110
- Push event: 86
- Pull request event: 183
- Create event: 90
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Yangyang Li | y****i@n****u | 502 |
| dependabot[bot] | 4****] | 179 |
| allcontributors[bot] | 4****] | 4 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 11
- Total pull requests: 499
- Average time to close issues: 4 months
- Average time to close pull requests: 2 days
- Total issue authors: 3
- Total pull request authors: 2
- Average comments per issue: 4.45
- Average comments per pull request: 0.89
- Merged pull requests: 419
- Bot issues: 0
- Bot pull requests: 488
Past Year
- Issues: 1
- Pull requests: 188
- Average time to close issues: about 3 hours
- Average time to close pull requests: 4 days
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 1.18
- Merged pull requests: 134
- Bot issues: 0
- Bot pull requests: 188
Top Authors
Issue Authors
- cauliyang (6)
- dependabot[bot] (6)
- anderdnavarro (3)
- tcztzy (1)
Pull Request Authors
- dependabot[bot] (740)
- cauliyang (13)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 229 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 26
- Total maintainers: 1
pypi.org: pxblat
A native python binding for blat suite
- Homepage: https://github.com/ylab-hi/pxblat
- Documentation: https://pxblat.readthedocs.io/en/latest/
- License: LICENSE
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Latest release: 1.2.1
published almost 2 years ago
Rankings
Maintainers (1)
Dependencies
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