AI2001 Category Source Code - Snakemake Datasets 🧠🖥️

Overview

Welcome to the AI2001 Category Source Code repository focused on Snakemake. This repository contains a variety of datasets designed for projects in artificial intelligence, specifically tailored for the AI2001 course. Snakemake, a powerful workflow management system, allows for reproducible and scalable data analysis.

Table of Contents

1. Repository Information
2. Topics
3. Installation
4. Usage
5. Datasets
6. Contributing
7. License
8. Contact

Repository Information

This repository includes the source code and datasets related to the Snakemake category for the AI2001 course. Here, you will find structured data and workflows that help in understanding and applying artificial intelligence concepts.

For downloads and updates, visit the Releases section.

Topics

This repository covers a wide range of topics relevant to AI2001:

• ai
• ai2001
• ai2001-dataset
• ai2001-development
• ai2001-project
• ai2001-sc-dataset
• ai2001-source-code
• ai2001-source-code-dataset
• artificial-intelligence
• dataset
• gpl3
• gplv3
• sc-dataset
• snakemake-lang
• snakemake-language
• snakemake-language-dataset

These topics help categorize the content and make it easier for users to find relevant materials.

Installation

To get started with this repository, you need to clone it to your local machine. You can do this using the following command:

git clone https://github.com/ae33333rg54y/AI2001_Category-Source_Code-SC-Snakemake.git

After cloning, navigate into the directory:

cd AI2001_Category-Source_Code-SC-Snakemake

Next, ensure you have Snakemake installed. You can install Snakemake via pip:

pip install snakemake

Make sure you have all the necessary dependencies installed. You can check the requirements.txt file in the repository for any additional libraries needed.

Usage

To run a Snakemake workflow, you can use the following command:

snakemake

This command will execute the default workflow defined in the Snakefile. You can customize your workflow by modifying the Snakefile or by specifying different targets.

Running Specific Targets

If you want to run a specific target, you can do so by specifying it in the command line:

snakemake <target>

Replace <target> with the name of the rule you want to execute.

Workflow Visualization

Snakemake allows you to visualize your workflow. You can generate a DAG (Directed Acyclic Graph) of your workflow using:

snakemake --dag | dot -Tsvg > dag.svg

This command creates a visual representation of your workflow, which can be helpful for understanding dependencies and execution flow.

Datasets

The datasets included in this repository are curated for use in various AI projects. Each dataset comes with a description, format, and any relevant metadata.

Dataset Structure

Each dataset is organized in a folder with the following structure:

dataset_name/
    ├── data/
    │   ├── dataset_file1.csv
    │   ├── dataset_file2.csv
    ├── README.md

The README.md file within each dataset folder provides details about the dataset, including:

• Description
• Source
• Format
• Usage examples

Example Datasets

1. Dataset 1: AI2001_Dataset_1

   • Description: This dataset contains sample data for training models.
   • Format: CSV
   • Files: dataset_file1.csv, dataset_file2.csv

2. Dataset 2: AI2001_Dataset_2

   • Description: This dataset includes validation data for testing models.
   • Format: CSV
   • Files: dataset_file3.csv, dataset_file4.csv

These datasets are designed to be used in conjunction with the Snakemake workflows provided in this repository.

Contributing

We welcome contributions to this repository. If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your forked repository.
5. Create a pull request.

Please ensure that your contributions align with the project's goals and maintain the coding standards established in this repository.

License

This project is licensed under the GNU General Public License v3.0. You can view the license details in the LICENSE file.

Contact

For any inquiries or suggestions, please reach out to the repository maintainer. You can find contact information in the CONTACT.md file.

For updates and downloads, check the Releases section.