pycoQC, interactive quality control for Oxford Nanopore Sequencing
pycoQC, interactive quality control for Oxford Nanopore Sequencing - Published in JOSS (2019)
Science Score: 95.0%
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 1 DOI reference(s) in JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
✓Committers with academic emails
3 of 6 committers (50.0%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
pycoQC computes metrics and generates Interactive QC plots from the sequencing summary report generated by Oxford Nanopore technologies basecaller (Albacore/Guppy)
Basic Info
- Host: GitHub
- Owner: a-slide
- License: gpl-3.0
- Language: Python
- Default Branch: master
- Homepage: https://a-slide.github.io/pycoQC/
- Size: 180 MB
Statistics
- Stars: 283
- Watchers: 4
- Forks: 40
- Open Issues: 21
- Releases: 21
Topics
Metadata Files
README.md
pycoQC v2.5.2
PycoQC in not maintained anymore, If you are interested in continuing the delelopment of this repository please contact me to discuss an eventual ownership transfer (adrien.leger at protonmail dot com)

PycoQC computes metrics and generates interactive QC plots for Oxford Nanopore technologies sequencing data
PycoQC relies on the sequencing_summary.txt file generated by Albacore and Guppy, but if needed it can also generate a summary file from basecalled fast5 files. The package supports 1D and 1D2 runs generated with Minion, Gridion and Promethion devices, basecalled with Albacore 1.2.1+ or Guppy 2.1.3+. PycoQC is written in pure Python3. Python 2 is not supported. For a quick introduction see tutorial by Tim Kahlke available at https://timkahlke.github.io/LongReadtutorials/QCP.html
Full documentation is available at https://a-slide.github.io/pycoQC
Gallery

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Example HTML reports
Example JSON reports
Disclaimer
Please be aware that pycoQC is a research package that is still under development.
It was tested under Linux Ubuntu 16.04 and in an HPC environment running under Red Hat Enterprise 7.1.
Thank you
Classifiers
- Development Status :: 3 - Alpha
- Intended Audience :: Science/Research
- Topic :: Scientific/Engineering :: Bio-Informatics
- License :: OSI Approved :: GNU General Public License v3 (GPLv3)
- Programming Language :: Python :: 3
licence
GPLv3 (https://www.gnu.org/licenses/gpl-3.0.en.html)
Copyright © 2020 Adrien Leger & Tommaso Leonardi
Authors
- Adrien Leger & Tommaso Leonardi
Owner
- Name: Adrien Leger
- Login: a-slide
- Kind: user
- Location: Oxford, UK
- Company: @nanoporetech
- Website: https://adrienleger.com/
- Twitter: AdrienLeger2
- Repositories: 50
- Profile: https://github.com/a-slide
Research scientist at Oxford Nanopore Technologies
JOSS Publication
pycoQC, interactive quality control for Oxford Nanopore Sequencing
Authors
Tags
python3 plots metrics nanopore sequencing interactive quality controlGitHub Events
Total
- Watch event: 19
- Push event: 1
- Fork event: 1
Last Year
- Watch event: 19
- Push event: 1
- Fork event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| a-slide | a****g@e****k | 356 |
| Tommaso Leonardi | t****m@i****z | 17 |
| Jamin | c****u@g****m | 3 |
| Jon Sanders | j****s@o****u | 3 |
| Daniel S. Katz | d****z@i****g | 1 |
| Rene Snajder | r****r@d****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 72
- Total pull requests: 37
- Average time to close issues: 2 months
- Average time to close pull requests: 6 days
- Total issue authors: 44
- Total pull request authors: 6
- Average comments per issue: 3.04
- Average comments per pull request: 0.19
- Merged pull requests: 36
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 0
- Average time to close issues: about 18 hours
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 0.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- a-slide (16)
- thierryjanssens (4)
- mbhall88 (3)
- inijman (3)
- sklages (3)
- splaisan (2)
- apeltzer (2)
- unique379r (2)
- wuy24 (1)
- callumparr (1)
- hrpelg (1)
- chanster-j (1)
- ktenpatel (1)
- dlbowie0 (1)
- skchronicles (1)
Pull Request Authors
- a-slide (31)
- tleonardi (2)
- godotgildor (1)
- snajder-r (1)
- liujamin (1)
- danielskatz (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
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Total downloads:
- pypi 451 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 58
- Total maintainers: 1
proxy.golang.org: github.com/a-slide/pycoQC
- Documentation: https://pkg.go.dev/github.com/a-slide/pycoQC#section-documentation
- License: gpl-3.0
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Latest release: v2.2.4+incompatible
published almost 7 years ago
Rankings
proxy.golang.org: github.com/a-slide/pycoqc
- Documentation: https://pkg.go.dev/github.com/a-slide/pycoqc#section-documentation
- License: gpl-3.0
-
Latest release: v2.2.4+incompatible
published almost 7 years ago
Rankings
pypi.org: pycoqc
PycoQC computes metrics and generates interactive QC plots for Oxford Nanopore technologies sequencing data
- Homepage: https://github.com/a-slide/pycoQC
- Documentation: https://pycoqc.readthedocs.io/
- License: GPLv3
-
Latest release: 2.5.2
published about 5 years ago
Rankings
Maintainers (1)
Dependencies
- dependency_1__ *
- dependency_2__ *
- dependency_3__ *
- dependency_4__ *
- dependency_5__ *
- dependency_6__ *
- dependency_7__ *
- dependency_8__ *
- h5py >=3.1
- jinja2 >=2.10
- numpy >=1.19
- pandas >=1.1
- plotly ==4.1.0
- pysam >=0.16
- scipy >=1.5
- tqdm >=4.54

