# Research Object Crate for CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology

Original URL: https://workflowhub.eu/workflows/1796/ro_crate?version=1

# CryoDataBot CryoDataBot is an automated pipeline designed to streamline dataset generation for cryogenic electron microscopy (cryoEM)-based atomic model building. It supports large-scale AI training and benchmarking by providing standardized tools for data retrieval, preprocessing, labeling, and quality control. CryoDataBot enables flexible configurations for diverse biomolecular structures, improves modeling reproducibility, and facilitates retraining of AI models such as U-Net and CryoREAD. It is open-source and optimized for structural biology applications in RNA and protein modeling. ## Table of Contents - [Installation](#installation) - [Usage](#usage) - [Project Structure](#project-structure) - [Features](#features) - [Contributing](#contributing) - [License](#license) ## Installation To install CryoDataBot: one-liner: ```bash git clone --branch temp https://github.com/t00shadow/CryoDataBot.git && cd CryoDataBot && pip install -r requirements.txt ``` step-by-step: ```bash git clone --branch temp https://github.com/t00shadow/CryoDataBot.git cd CryoDataBot pip install -r requirements.txt ``` ## Usage You can run the main GUI for CryoDataBot with the following command: ```bash python -m cryodatabot ```

Author
  Qibo Xu
License
  MIT

## Contents

Main Workflow: CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology
Size: 76 bytes