assembly_stats
Calculates both scaffold and contig statistics (N50, L50, etc.) from a scaffold FASTA file.
Science Score: 33.0%
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
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○.zenodo.json file
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✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.1%) to scientific vocabulary
Repository
Calculates both scaffold and contig statistics (N50, L50, etc.) from a scaffold FASTA file.
Basic Info
- Host: GitHub
- Owner: MikeTrizna
- License: mit
- Language: Python
- Default Branch: master
- Size: 3.7 MB
Statistics
- Stars: 14
- Watchers: 2
- Forks: 3
- Open Issues: 5
- Releases: 0
Metadata Files
README.md
assembly_stats
A Python library that takes a FASTA file as input and calculates both scaffold and contig statistics (N50, L50, etc.) from a scaffold FASTA file. It does this by breaking each scaffold wherever there is more than one N and then calculating statistics for both the scaffolds and contigs.
This is a re-write of fastametadataparser to speed up the old implementation, and -- most importantly -- to learn how to install Python scripts onto the Smithsonian HPC.
Installation
pip install assembly_stats
Usage
``` $ assembly_stats -h
usage: assembly_stats [-h] filename
Calculate statistics about genome assemblies.
positional arguments:
filename Genome file in FASTA format.
optional arguments:
-h, --help show this help message and exit
```
After calculating the statistics for the genome assembly, they will be printed out in JSON format.
Hoow to Cite
The assembly_stats package has been added to Zenodo in order to receive a stable DOI for citation: "10.5281/zenodo.3968774".
Please go to the Zenodo page for assembly_stats to find style-specific formatting options: https://zenodo.org/record/3968774.
Next steps
- Add ability to save NumPy sequence length arrays for further visualization, since generating these are what takes the most time.
Owner
- Name: Mike Trizna
- Login: MikeTrizna
- Kind: user
- Location: Washington, DC
- Company: Smithsonian Institution
- Repositories: 109
- Profile: https://github.com/MikeTrizna
GitHub Events
Total
Last Year
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Mike Trizna | t****m@s****u | 10 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 6
- Total pull requests: 1
- Average time to close issues: 18 days
- Average time to close pull requests: N/A
- Total issue authors: 3
- Total pull request authors: 1
- Average comments per issue: 0.33
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- MikeTrizna (4)
- telatin (1)
- mtntsuchiya (1)
Pull Request Authors
- telatin (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- pypi 119 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 2
(may contain duplicates) - Total versions: 7
- Total maintainers: 1
pypi.org: assembly-stats
Calculates both scaffold and contig statistics (N50, L50, etc.) from a scaffold FASTA file.
- Homepage: https://github.com/MikeTrizna/assembly_stats
- Documentation: https://assembly-stats.readthedocs.io/
- License: MIT License
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Latest release: 0.1.4
published over 6 years ago
Rankings
Maintainers (1)
conda-forge.org: assembly_stats
- Homepage: https://github.com/MikeTrizna/assembly_stats
- License: MIT
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Latest release: 0.1.4
published over 6 years ago