alpha-score | A scoring system for partitioning ChIP Seq Data

by alexjgriffith Python Version: Current License: Non-SPDX

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kandi X-RAY | alpha-score Summary

alpha-score is a Python library. alpha-score has no bugs, it has no vulnerabilities and it has low support. However alpha-score build file is not available and it has a Non-SPDX License. You can download it from GitHub.

#Alpha Score Author: Alexander Griffith. Date Created: January 07 2015. ##Description: Alpha Score is a system for analyzing ChIP protein binding preference based on different cellular conditions. ##Citations: This file is part of alpha-score, and is Copyright (C) University of Ottawa, 2015. It is Licensed under the three-clause BSD License; see LICENSE.txt.

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alpha-score 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.

alpha-score has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of alpha-score is current.

Quality

alpha-score has no bugs reported.

Security

alpha-score has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

alpha-score has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

alpha-score releases are not available. You will need to build from source code and install.

alpha-score has no build file. You will be need to create the build yourself to build the component from source.

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alpha-score Key Features

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alpha-score Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install alpha-score

You can download it from GitHub.
You can use alpha-score 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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