metage2metabo | annotated genomes to metabolic
kandi X-RAY | metage2metabo Summary
kandi X-RAY | metage2metabo Summary
metage2metabo is a Jupyter Notebook library. metage2metabo has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
M2M has two main dependencies for modelling metabolic networks: MeneTools and Miscoto. Accordingly metabolic models in M2M follow the producibility in metabolic networks as defined by the network expansion algorithm. Mainly, two rules are followed:. A metabolite that is producible from a set of nutrients is described as being "in the scope of the seeds". The computation is made using logic solvers (Answer Set Programming). The present modelling ignores the stoichiometry of reactions (2A + B --> C is considered equivalent to A + B --> C), and is therefore suited to non-curated or draft metabolic networks, as the ones built using M2M with the PathoLogic software of Pathway Tools handled by Mpwt. Many works have relied on network expansion to study organisms (here, here or there) and communities (here, here, or here). It has been compared, combined to steady-state modelling (Flux Balance Analysis).
M2M has two main dependencies for modelling metabolic networks: MeneTools and Miscoto. Accordingly metabolic models in M2M follow the producibility in metabolic networks as defined by the network expansion algorithm. Mainly, two rules are followed:. A metabolite that is producible from a set of nutrients is described as being "in the scope of the seeds". The computation is made using logic solvers (Answer Set Programming). The present modelling ignores the stoichiometry of reactions (2A + B --> C is considered equivalent to A + B --> C), and is therefore suited to non-curated or draft metabolic networks, as the ones built using M2M with the PathoLogic software of Pathway Tools handled by Mpwt. Many works have relied on network expansion to study organisms (here, here or there) and communities (here, here, or here). It has been compared, combined to steady-state modelling (Flux Balance Analysis).
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Support
metage2metabo has a low active ecosystem.
It has 20 star(s) with 4 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 9 open issues and 19 have been closed. On average issues are closed in 28 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of metage2metabo is 1.5.0
Quality
metage2metabo has no bugs reported.
Security
metage2metabo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
metage2metabo is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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metage2metabo releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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metage2metabo Key Features
No Key Features are available at this moment for metage2metabo.
metage2metabo Examples and Code Snippets
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Community Discussions
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install metage2metabo
Developed and tested on Linux (Ubuntu, Fedora, Debian) and MacOs (version 10.14) with Python3.6. Continuous Integration using GitHub Actions with Python3.6 and Python3.7 on ubuntu-latest, macos-latest and windows-latest (corresponding virtual environment).
Support
A more detailled documentation is available at: https://metage2metabo.readthedocs.io.
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