metabolishmm
Tool for constructing phylogenies and summarizing metabolic characteristics based on curated and custom profile HMMs
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 1 DOI reference(s) in README -
✓Academic publication links
Links to: biorxiv.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary
Repository
Tool for constructing phylogenies and summarizing metabolic characteristics based on curated and custom profile HMMs
Basic Info
Statistics
- Stars: 18
- Watchers: 2
- Forks: 5
- Open Issues: 10
- Releases: 0
Metadata Files
README.md

metabolisHMM: a tool for exploration of microbial phylogenies and metabolic pathways
metabolisHMM is a pipeline for visualizing the distribution and evolutionary relationships using curated and custom Hidden Markov Model (HMM) profiles. Functional annotation of microbial genomes using HMMs is becoming increasingly popular over BLAST-based methods, however methods for rapidly visualizing and summarizing these results are lacking. This software automates the process of searching any set of metabolic markers that have an HMM profile against a set of genomes, and outputs phylogenies, summary statistics, and heatmap presence/absence visualizations. The metabolisHMM software is written in python and is available on PyPi.
Please see the wiki for installation and usage instructions.
If you find metabolisHMM useful for your research, please cite the biorXiv preprint as:
McDaniel, E.A., Anantharaman, K., McMahon, K.D. 2019. metabolisHMM: Phylogenomic analysis for exploration of microbial phylogenies and metabolic pathways. bioRxiv. 2019.12.20.884627
Owner
- Name: Elizabeth McDaniel
- Login: elizabethmcd
- Kind: user
- Location: Berkeley, CA
- Company: Arcadia Science
- Website: https://elizabethmcd.github.io
- Twitter: lizilla93
- Repositories: 5
- Profile: https://github.com/elizabethmcd
Scientist @ Arcadia Science developing computational pipelines.
GitHub Events
Total
- Issues event: 1
- Issue comment event: 1
Last Year
- Issues event: 1
- Issue comment event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Elizabeth McDaniel | e****l@w****u | 179 |
| elizabethmcd | e****l@k****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 60
- Total pull requests: 1
- Average time to close issues: 27 days
- Average time to close pull requests: N/A
- Total issue authors: 13
- Total pull request authors: 1
- Average comments per issue: 1.73
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- elizabethmcd (47)
- Streptomyces1 (2)
- bbaker567 (1)
- Thexiyang (1)
- nikobiota (1)
- morgvevans (1)
- mohitsharma-123 (1)
- thatch (1)
- Binvir (1)
- susheelbhanu (1)
- taylorreiter (1)
- sarah872 (1)
- vinisalazar (1)
Pull Request Authors
- thatch (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 31 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 6
- Total maintainers: 1
pypi.org: metabolishmm
Constructing phylogenies and performing functional annotations with HMM markers
- Homepage: https://github.com/elizabethmcd/metabolisHMM
- Documentation: https://metabolishmm.readthedocs.io/
- License: GNU
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Latest release: 2.22
published over 6 years ago
Rankings
Maintainers (1)
Dependencies
- biopython *
- matplotlib *
- numpy *
- pandas *
- seaborn *
- biopython *
- matplotlib *
- numpy *
- pandas *
- seaborn *