DocumentationInstallation
Installation Guide
Get AlignAIR up and running in minutes with our step-by-step installation guide.
Choose Your Installation Method
Docker Installation
RecommendedThe easiest way to run AlignAIR. Everything is pre-configured and ready to use.
No manual setup required
Consistent environment across platforms
Pre-trained models included
Local Installation
AdvancedInstall AlignAIR directly on your system. Recommended for developers and advanced users.
Full control over environment
Easier integration with workflows
Requires manual configuration
Docker Installation Steps
1
Verify Docker
Make sure Docker is installed and running:
docker --version
Expected: Docker version 20.10+
2
Pull AlignAIR Image
Download the latest AlignAIR image:
docker pull thomask90/alignair:latest
This may take a few minutes depending on your connection
3
Prepare Data Directory
Create directories for your data:
mkdir -p ~/alignair-data/input ~/alignair-data/output
Place your input files in ~/alignair-data/input/
4
Run Container
Start AlignAIR with volume mounting:
docker run -it --rm -v ~/alignair-data:/data thomask90/alignair:latest
You should see the AlignAIR command prompt
System Requirements
Recommended Setup
NVIDIA GPU
CUDA 11+ support for optimal performance
16GB+ RAM
For large batch processing
10GB+ Storage
For models and datasets
Minimum Requirements
Multi-core CPU
CPU mode available (slower)
8GB+ RAM
For basic processing
5GB+ Storage
Minimum free space
Local Installation (Advanced)
Prerequisites
Python 3.8+
python --version
Git
git --version
Installation Steps
1. Clone the repository:
git clone https://github.com/MuteJester/AlignAIR.git
2. Navigate to directory and install dependencies:
cd AlignAIR pip install -r requirements.txt
3. Verify installation:
python app.py --help
⚠️ Note for Advanced Users
This method requires a properly configured Python environment and is recommended for developers only. You'll need to manually download model weights and configure paths.
🎉 Ready to Get Started!
AlignAIR is now installed and ready to process your sequence data. Check out the usage guide to run your first analysis.
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