autometa
Autometa: Automated Extraction of Genomes from Shotgun Metagenomes
Science Score: 57.0%
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 5 DOI reference(s) in README -
○Academic publication links
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○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 (11.8%) to scientific vocabulary
Keywords
Repository
Autometa: Automated Extraction of Genomes from Shotgun Metagenomes
Basic Info
- Host: GitHub
- Owner: KwanLab
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://autometa.readthedocs.io
- Size: 78.9 MB
Statistics
- Stars: 41
- Watchers: 3
- Forks: 15
- Open Issues: 40
- Releases: 13
Topics
Metadata Files
README.md
Autometa
An automated binning pipeline for single metagenomes, in particular host-associated and highly complex ones. Autometa is copyright 2020 Ian J. Miller, Evan Rees, Izaak Miller and Jason C. Kwan, and is released under the GNU Affero General Public License v3 (see LICENSE.txt). If you find Autometa useful to your work, please cite:
Miller, I. J.; Rees, E. R.; Ross, J.; Miller, I.; Baxa, J.; Lopera, J.; Kerby, R. L.; Rey, F. E.; Kwan, J. C. Autometa: Automated extraction of microbial genomes from individual shotgun metagenomes. Nucleic Acids Research, 2019. DOI: https://doi.org/10.1093/nar/gkz148
Documentation
Full documentation is hosted on autometa.readthedocs.io
Quickstart
:shell: Bash workflow
1. Setup env
Install into your current env...
bash
mamba install -c conda-forge -c bioconda autometa
... or create a new env
bash
mamba create -n autometa -c conda-forge -c bioconda autometa
2. Download the bash workflow template, autometa.sh
3. Edit the input parameters
4. Run the workflow
:green_apple: Nextflow Workflow
1. Setup env
:student: This workflow requires only nextflow and nf-core be installed.
Install into your current env...
bash
mamba env update -n <your-env> --file=https://raw.githubusercontent.com/KwanLab/Autometa/main/nextflow-env.yml
... or create a new env
```bash mamba env create --file=https://raw.githubusercontent.com/KwanLab/Autometa/main/nextflow-env.yml
Activate the env after creation
mamba activate autometa-nf ```
2. Launch and run the workflow
bash
nf-core launch KwanLab/Autometa
For developers
This pipeline uses code and infrastructure developed and maintained by the nf-core community, reused here under the MIT license.
The nf-core framework for community-curated bioinformatics pipelines.
Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x. In addition, references of tools and data used in this pipeline are as follows:
Owner
- Name: KwanLab
- Login: KwanLab
- Kind: organization
- Website: kwanlab.github.io
- Repositories: 3
- Profile: https://github.com/KwanLab
https://twitter.com/kwan_lab
Citation (CITATION.cff)
cff-version: 1.2.0
message: 'If you use this software, please cite it as below.'
title: Autometa
preferred-citation:
type: article
authors:
- given-names: Ian J.
family-names: Miller
- given-names: Evan R.
family-names: Rees
- given-names: Jennifer
family-names: Ross
- given-names: Izaak
family-names: Miller
- given-names: Jared
family-names: Baxa
- given-names: Juan
family-names: Lopera
- given-names: Robert L.
family-names: Kerby
- given-names: Federico E.
family-names: Rey
- given-names: Jason C.
family-names: Kwan
orcid: 'https://orcid.org/0000-0001-9933-1536'
title: 'Autometa: automated extraction of microbial genomes from individual shotgun metagenomes'
year: 2019
journal: Nucleic Acids Research
volume: 47
issue: 10
url: 'https://github.com/KwanLab/Autometa'
doi: 10.1093/nar/gkz148
GitHub Events
Total
- Issues event: 1
- Watch event: 4
- Delete event: 2
- Issue comment event: 32
- Push event: 37
- Pull request review event: 2
- Pull request event: 8
- Create event: 4
Last Year
- Issues event: 1
- Watch event: 4
- Delete event: 2
- Issue comment event: 32
- Push event: 37
- Pull request review event: 2
- Pull request event: 8
- Create event: 4
Dependencies
- readthedocs-sphinx-search ==0.1.1
- sphinx ==4.2.0
- sphinx_rtd_theme ==1.0.0
- actions/checkout v2 composite
- docker/build-push-action v2 composite
- docker/login-action v1 composite
- docker/metadata-action v3 composite
- docker/setup-buildx-action v1 composite
- docker/setup-qemu-action v1 composite
- actions/checkout v2 composite
- docker/build-push-action v2 composite
- docker/login-action v1 composite
- docker/metadata-action v3 composite
- docker/setup-buildx-action v1 composite
- docker/setup-qemu-action v1 composite
- actions/checkout v2 composite
- docker/build-push-action v2 composite
- docker/login-action v1 composite
- docker/metadata-action v3 composite
- docker/setup-buildx-action v1 composite
- docker/setup-qemu-action v1 composite
- actions/checkout v2 composite
- actions/setup-python v1 composite
- actions/upload-artifact v2 composite
- dawidd6/action-download-artifact v2 composite
- marocchino/sticky-pull-request-comment v2 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- codecov/codecov-action v2 composite
- conda-incubator/setup-miniconda v2 composite
- continuumio/miniconda3 latest build
- attrs
- bedtools
- biopython
- black 22.3.0
- bowtie2
- diamond >=2.0
- gdown
- hmmer
- numba >=0.47
- numpy >=1.13
- pandas >=1.1
- parallel
- pip
- pre_commit
- prodigal
- pytest
- pytest-cov
- pytest-html
- pytest-repeat
- pytest-variables
- python-annoy >=1.11
- requests
- rsync
- samtools >=1.11
- scikit-bio
- scikit-learn >=1.3
- scipy
- sphinx
- sphinx_rtd_theme
- tqdm
- trimap
- tsne
- umap-learn >=0.5