mqvg | Logistic regression approach for better estimation

by kishwarshafin Python Version: Current License: MIT

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kandi X-RAY | mqvg Summary

mqvg is a Python library. mqvg has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mqvg build file is not available. You can download it from GitHub.

MQVG provides a calibration of mapping qualities provided by vg. This calibration can be used to better estimate the confidence of a mapped set to a reference variation graph. Primarily designed for human genome variation graph, this model can be used for other organisms too.

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Support

mqvg has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of mqvg is current.

Quality

mqvg has no bugs reported.

Security

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

License

mqvg is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

mqvg 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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mqvg Key Features

No Key Features are available at this moment for mqvg.

mqvg Examples and Code Snippets

No Code Snippets are available at this moment for mqvg.

Community Discussions

No Community Discussions are available at this moment for mqvg.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mqvg

You can download it from GitHub.
You can use mqvg 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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