join_asvbins | tool provides a method for connecting 16S rRNA sequences

by WrightonLabCSU Python Version: Current License: GPL-3.0

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kandi X-RAY | join_asvbins Summary

join_asvbins is a Python library. join_asvbins has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

This tool provides a method for connecting 16S rRNA sequences to a set of bin-scaffolds. The code is in essence a wrapper around a Snakemake pipeline that uses barnap and MMseqs2, with the option of substituting BLAST for MMseqs2. This is not a perfect system, and is also a work in progress.

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Quality

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Support

join_asvbins has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

join_asvbins has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of join_asvbins is current.

Quality

join_asvbins has no bugs reported.

Security

join_asvbins has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

join_asvbins is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

join_asvbins releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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join_asvbins Key Features

No Key Features are available at this moment for join_asvbins.

join_asvbins Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install join_asvbins

The installation should be no more complex than:. Creating a conda enviroment is the best way to run tool becouse it depends not only on several python librarys but also on severaly comandline tools. If you wish to, or a forced by circumstance, to install this tool outside of conda you should have all the information you need in the enviroment.yaml file to do so.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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