mclib_Python | simple classes to handle various types
kandi X-RAY | mclib_Python Summary
kandi X-RAY | mclib_Python Summary
mclib_Python is a Python library. mclib_Python has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However mclib_Python build file is not available. You can download it from GitHub.
This is a set of simple classes to handle various types of genomic/transcriptomic data. Some of these classes are wrappers for other python modules such as gffutils. In order to use these classes various python modules will need to be installed. Including:. I suggest using this repository as a subtree in your project. This will allow you to pull changes to mclib_Python while the project is active. But then have a code freeze once the project is published, so that you can easily tell what code was run. First setup you project's scripts folder as a git repository. Then to subtree this library do the following inside of your scripts folder. For more detailed information about this library please see McIntyre Library Documentation.
This is a set of simple classes to handle various types of genomic/transcriptomic data. Some of these classes are wrappers for other python modules such as gffutils. In order to use these classes various python modules will need to be installed. Including:. I suggest using this repository as a subtree in your project. This will allow you to pull changes to mclib_Python while the project is active. But then have a code freeze once the project is published, so that you can easily tell what code was run. First setup you project's scripts folder as a git repository. Then to subtree this library do the following inside of your scripts folder. For more detailed information about this library please see McIntyre Library Documentation.
Support
Quality
Security
License
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Support
mclib_Python has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
mclib_Python has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mclib_Python is current.
Quality
mclib_Python has no bugs reported.
Security
mclib_Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mclib_Python 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.
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mclib_Python releases are not available. You will need to build from source code and install.
mclib_Python has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mclib_Python
mclib_Python Key Features
No Key Features are available at this moment for mclib_Python.
mclib_Python Examples and Code Snippets
No Code Snippets are available at this moment for mclib_Python.
Community Discussions
No Community Discussions are available at this moment for mclib_Python.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mclib_Python
You can download it from GitHub.
You can use mclib_Python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use mclib_Python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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