CPC2_standalone | Official repo for the standalone package

by gao-lab Python Version: v1.0.1 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | CPC2_standalone Summary

CPC2_standalone is a Python library. CPC2_standalone has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However CPC2_standalone build file is not available. You can download it from GitHub.

Official repo for the standalone package of Coding Potential Calculator (CPC) 2.

Support

Quality

Security

License

Reuse

Support

CPC2_standalone has a low active ecosystem.

It has 7 star(s) with 5 fork(s). There are no watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CPC2_standalone is v1.0.1

Quality

CPC2_standalone has 0 bugs and 0 code smells.

Security

CPC2_standalone has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

CPC2_standalone code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CPC2_standalone 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

CPC2_standalone releases are available to install and integrate.

CPC2_standalone 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.

It has 450 lines of code, 30 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed CPC2_standalone and discovered the below as its top functions. This is intended to give you an instant insight into CPC2_standalone implemented functionality, and help decide if they suit your requirements.

Calculate the potential potential
Calculate the Fickett value of a DNA sequence
Find the longest codon in the sequence
Return the longest ORF of the sequence
Lookup the content probability for a given value
Return the probability of a given position
Get all codons from frame_number
Reverse complement
Translate the given mRNA
Return the protein parameter

Get all kandi verified functions for this library.

CPC2_standalone Key Features

No Key Features are available at this moment for CPC2_standalone.

CPC2_standalone Examples and Code Snippets

No Code Snippets are available at this moment for CPC2_standalone.

Community Discussions

No Community Discussions are available at this moment for CPC2_standalone.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install CPC2_standalone

You can download it from GitHub.
You can use CPC2_standalone 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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