genetics-viz 0.1.1

A web-based visualization tool for genetics cohort data

Genetics-Viz 🧬

A web-based visualization tool for genetics cohort data, providing interactive analysis and validation of genetic variants.

Features

Core Features

• 📊 Multi-Cohort Management - Browse and analyze multiple cohorts from a single data directory
• 👨‍👩‍👧‍👦 Family Structure Visualization - View pedigree information and family relationships
• 🧬 Variant Analysis - Interactive tables for DNM (de novo mutations) and WOMBAT analysis
• ✅ Variant Validation - Track and validate genetic variants with inheritance patterns
• 🔬 IGV Integration - Built-in IGV.js browser for sequence visualization (CRAM files)
• 🌊 WAVES Validation - Specialized validation workflow for bedGraph/coverage analysis
• 🎨 Modern UI - Clean, responsive interface built with NiceGUI

Validation Features

• Save validation status (present/absent/uncertain/different)
• Track inheritance patterns (de novo/paternal/maternal/either)
• View validation history with timestamps
• Filter variants by validation status
• Export validation data

Installation

Quick Start with uvx (Recommended)

The easiest way to run genetics-viz without installation:

uvx genetics-viz /path/to/data/directory

From PyPI

pip install genetics-viz

From Source

# Clone the repository
git clone https://github.com/bourgeron-lab/genetics-viz.git
cd genetics-viz

# Install with uv (recommended)
uv sync
uv run genetics-viz /path/to/data/directory

# Or install with pip
pip install -e .
genetics-viz /path/to/data/directory

Alternative: Local Python/Virtualenv

# Create a virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install genetics-viz
pip install genetics-viz

# Run the application
genetics-viz /path/to/data/directory

Usage

Command Line Options

# Basic usage
genetics-viz /path/to/data/directory

# With custom host and port
genetics-viz /path/to/data/directory --host 0.0.0.0 --port 8080

# Full help
genetics-viz --help

Web Interface

Once started, open your browser to http://localhost:8000 (or the specified port).

The interface provides:

• Home Page - List of available cohorts
• Cohort View - Family list and overview
• Family View - DNM and WOMBAT analysis tabs
• Validation Pages - Track variant validations (file-specific and all validations)
• WAVES Validation - Specialized coverage/bedGraph validation workflow

Data Directory Structure

The tool expects the following directory structure:

data_directory/
├── cohorts/
│   ├── cohort1/
│   │   ├── cohort1.pedigree.tsv
│   │   └── families/
│   │       ├── FAM001/
│   │       │   ├── FAM001.wombat.*.tsv (WOMBAT analysis files)
│   │       │   └── FAM001.dnm.*.tsv (DNM analysis files)
│   │       └── FAM002/
│   │           └── ...
│   └── cohort2/
│       └── ...
├── samples/
│   ├── SAMPLE001/
│   │   └── sequences/
│   │       ├── SAMPLE001.GRCh38_GIABv3.cram
│   │       ├── SAMPLE001.GRCh38_GIABv3.cram.crai
│   │       └── SAMPLE001.GRCh38.bedGraph.gz (for WAVES)
│   └── SAMPLE002/
│       └── ...
└── validations/
    ├── snvs.tsv (variant validations)
    └── waves.tsv (WAVES validations)

Required Files

Pedigree File Format

Pedigree files (cohort_name.pedigree.tsv) should be tab-separated. The header is optional - if present, it must start with "FID":

With header:

FID IID PAT MAT SEX PHENOTYPE
FAM001 SAMPLE001 0 0 M affected
FAM001 SAMPLE002 0 0 F unaffected

Without header:

FAM001 SAMPLE001 0 0 M affected
FAM001 SAMPLE002 0 0 F unaffected

Column Mapping (case-insensitive):

Column	Possible Names
Family ID	FID, family_id, familyid, family
Individual ID	IID, individual_id, sample_id, sample
Father ID	PAT, father_id, fatherid, father
Mother ID	MAT, mother_id, motherid, mother
Sex	SEX, gender
Phenotype	PHENOTYPE, affected, status

CRAM Files (for IGV visualization)

• Format: SAMPLE_ID.GRCh38_GIABv3.cram
• Index: SAMPLE_ID.GRCh38_GIABv3.cram.crai
• Location: samples/SAMPLE_ID/sequences/

BedGraph Files (for WAVES validation)

• Format: SAMPLE_ID.GRCh38.bedGraph.gz
• Location: samples/SAMPLE_ID/sequences/

Analysis Files

• DNM files: FAMILY_ID.dnm.*.tsv (must contain chr:pos:ref:alt column)
• WOMBAT files: FAMILY_ID.wombat.*.tsv (must contain #CHROM, POS, REF, ALT columns)

GHFC Lab Usage

Prerequisites

You need to either:

• Be on the Institut Pasteur network, OR
• Be connected via VPN

Mounting ghfc_wgs from Helix

On macOS

# Mount the network drive
# In Finder: Go > Connect to Server (⌘K)
# Enter: smb://helix.pasteur.fr/ghfc_wgs
# Or via command line:
open 'smb://helix.pasteur.fr/projects/ghfc_wgs'

The drive will be mounted at /Volumes/ghfc_wgs

On Linux

# Create mount point
sudo mkdir -p /mnt/ghfc_wgs

# Mount via CIFS
sudo mount -t cifs //helix.pasteur.fr/projects/ghfc_wgs /mnt/ghfc_wgs -o username=YOUR_USERNAME,domain=PASTEUR

# Or add to /etc/fstab for automatic mounting:
# //helix.pasteur.fr/projects/ghfc_wgs /mnt/ghfc_wgs cifs username=YOUR_USERNAME,password=YOUR_PASSWORD,domain=PASTEUR,uid=1000,gid=1000 0 0

Running genetics-viz for GHFC Data

Method 1: Using uvx (Recommended - No Installation)

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Run directly with uvx
uvx genetics-viz /Volumes/ghfc_wgs/WGS/GHFC-GRCh38

# On Linux (adjust mount point):
uvx genetics-viz /mnt/ghfc_wgs/WGS/GHFC-GRCh38

Method 2: Using uv with Local Installation

# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install genetics-viz
uv pip install genetics-viz

# Run the application
genetics-viz /Volumes/ghfc_wgs/WGS/GHFC-GRCh38

Method 3: Traditional Python/pip

# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate

# Install genetics-viz
pip install genetics-viz

# Run the application
genetics-viz /Volumes/ghfc_wgs/WGS/GHFC-GRCh38

Access the Application

Once started, open your browser to:

http://localhost:8000

To access from other machines on the network:

genetics-viz /Volumes/ghfc_wgs/WGS/GHFC-GRCh38 --host 0.0.0.0 --port 8000

Then access via: http://YOUR_MACHINE_IP:8000

Validation Workflow

SNV Validation

1. Navigate to a variant table (DNM or WOMBAT tabs, or Validation pages)
2. Click "View in IGV" button for a variant
3. In the dialog:
   • Review variant details
   • Add additional samples (parents, siblings, or by barcode)
   • Examine CRAM tracks in IGV viewer
   • Set validation status and inheritance pattern
   • Click "Save Validation"
4. The validation is saved to validations/snvs.tsv

WAVES Validation

1. Go to "Validation" > "Waves" in the menu
2. Select a cohort and pedigree
3. Select a sample from the pedigree
4. Click "View on IGV" for the sample
5. In the dialog:
   • Review bedGraph coverage tracks for the sample
   • Add additional samples for comparison
   • Set validation status
   • Click "Save Validation"
6. The validation is saved to validations/waves.tsv

Development

# Clone repository
git clone https://github.com/bourgeron-lab/genetics-viz.git
cd genetics-viz

# Install with development dependencies
uv sync --dev

# Run tests
uv run pytest

# Run linter
uv run ruff check .

# Format code
uv run ruff format .

# Run with auto-reload for development
uv run genetics-viz --reload /path/to/data

Validation File Formats

SNV Validations (validations/snvs.tsv)

FID Variant Sample User Inheritance Validation Timestamp
FAM001 chr1:12345:A:T SAMPLE001 username de novo present 2026-01-18T10:30:00

WAVES Validations (validations/waves.tsv)

Cohort Pedigree Sample User Validation Timestamp
cohort1 FAM001 SAMPLE001 username present 2026-01-18T10:30:00

Troubleshooting

Cannot access GHFC data

• Verify VPN connection or Pasteur network access
• Check that ghfc_wgs is properly mounted
• Verify mount path (/Volumes/ghfc_wgs on macOS, /mnt/ghfc_wgs on Linux)

IGV not displaying

• Ensure CRAM files and indices (.crai) exist
• Check that files follow naming convention: SAMPLE_ID.GRCh38_GIABv3.cram
• Verify IGV.js is loading (check browser console)

Pedigree file not recognized

• Ensure tab-separated format
• Verify required columns are present
• Check file naming: cohort_name.pedigree.tsv

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - See LICENSE file for details

Citation

If you use this tool in your research, please cite:

Genetics-Viz: A web-based visualization tool for genetics cohort data
GitHub: https://github.com/bourgeron-lab/genetics-viz

Support

For issues, questions, or feature requests, please open an issue on GitHub: https://github.com/bourgeron-lab/genetics-viz/issues