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https://github.com/peteprattis/chromosome-last-random-nucleotide-game

A Python script that implements a two player strategic game with two sequences of length n and m nucleotides respectively. At each Round of the game a player can remove a random number of nucleotides from one sequence or the same number of nucleotides from both sequences. The player who removes the last nucleotide wins.
https://github.com/peteprattis/chromosome-last-random-nucleotide-game

arrays bioinformatics chromosomes computer-science fasta game loop nucleotides program python student

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A Python script that implements a two player strategic game with two sequences of length n and m nucleotides respectively. At each Round of the game a player can remove a random number of nucleotides from one sequence or the same number of nucleotides from both sequences. The player who removes the last nucleotide wins.

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README

        

# A Python Program / Project

**This is a Python project from my early days as a Computer Science student**

_This programm was created for the sixth semester class Bioinformatics
and is one of the final projects for the class_

> #### Description of project
>
>>A Python script that implements a two player strategic game with two sequences of length n and m nucleotides respectively. At each Round of the game a player can remove a random number of nucleotides from one sequence or the same number of nucleotides from both sequences. The player who removes the last nucleotide wins.

> #### Strategy explanation
>
>A player, in order to be able to win the game described in this exercise, must find himself in 2 cases:
> 1. Case 1
>>Equal length on both chromosomes.
> 2. Case 2
>>At least one chromosome shall have a length of 0.

>
>Therefore, every time we play, we try to find ourselves in the above situations in order to defeat our opponent.

> #### About this project
>
> - The comments to make the code understandable, are within the .py archive
> - This project was written in IDLE, Python’s Integrated Development and Learning Environment.
> - Biological data used from https://www.ncbi.nlm.nih.gov/gene/ (genes 5836, 5834)
> - This program runs for Python version 2.7
> - This repository was created to show the variety of the work I did and experience I gained as a student
>