DNA sequence alignement in native Python no biopython

Title: DNA Sequence Alignment in Native Python: A Step-by-Step Tutorial
DNA sequence alignment is a crucial task in bioinformatics, allowing researchers to compare and analyze genetic information. In this tutorial, we'll explore how to perform a basic DNA sequence alignment in native Python without using external libraries like Biopython. We'll implement a simple algorithm for pairwise sequence alignment known as the Needleman-Wunsch algorithm.
Make sure you have Python installed on your system. This tutorial is designed for Python 3.
Sequence alignment involves arranging two or more sequences to identify regions of similarity. In DNA sequence alignment, we aim to align two DNA sequences to identify common patterns, mutations, or structural similarities.
The Needleman-Wunsch algorithm is a dynamic programming algorithm that aligns two sequences optimally. It assigns scores to matches, mismatches, and gaps and computes the alignment with the highest overall score.
Let's implement the Needleman-Wunsch algorithm in native Python.
This implementation returns the aligned sequences and prints them as output.
In this tutorial, we've implemented a basic DNA sequence alignment algorithm, the Needleman-Wunsch algorithm, using native Python. Understanding the fundamental concepts of sequence alignment is crucial for various bioinformatics applications. Feel free to explore and modify the code to suit your specific needs.
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