Smith_Waterman_Py | Implementing the Smith-Waterman algorithm in Python

by Seb943 Python Version: Current License: No License

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kandi X-RAY | Smith_Waterman_Py Summary

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

Implementing the Smith-Waterman algorithm in Python. "The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings of nucleic acid sequences or protein sequences. Instead of looking at the entire sequence, the Smith–Waterman algorithm compares segments of all possible lengths and optimizes the similarity measure.". :information_source: Please report any bug/issue in the issues section or directly at sebcararo@hotmail.fr. Any feedback is really appreciated :speech_balloon: :+1:.

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Smith_Waterman_Py 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.

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

It has a neutral sentiment in the developer community.

The latest version of Smith_Waterman_Py is current.

Quality

Smith_Waterman_Py has 0 bugs and 0 code smells.

Security

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

Smith_Waterman_Py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Smith_Waterman_Py does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

It has 146 lines of code, 11 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Prints traceback
Displays the substitution matrix .
Calculate the score for a given matrix .
Calculate the score matrix .
Returns the alignment string
Prints graph alignment .
Create the Substi .
Compute the score of a substitution .
Returns the first position in a list .
Print a matrix .

Get all kandi verified functions for this library.

Smith_Waterman_Py Key Features

No Key Features are available at this moment for Smith_Waterman_Py.

Smith_Waterman_Py 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 Smith_Waterman_Py

You can download it from GitHub.
You can use Smith_Waterman_Py 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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