Genomic Data Compression Tool
Jan 2025
·
1 min read
Overview
A novel compression tool developed in C++ and Python specifically optimized for multiple genomic file formats. This tool significantly reduces storage requirements while dramatically improving compression speed compared to existing solutions.
Performance
- 10-20% smaller file sizes compared to standard genomic compression tools
- 50-70% faster compression times enabling real-time analysis
- Multiple format support: Handles various genomic data formats
- Lossless compression: Maintains data integrity for scientific applications
Technical Approach
The tool leverages domain-specific knowledge about genomic data structure to achieve superior compression ratios and speeds. Implementation in C++ provides low-level performance optimization while Python bindings enable easy integration into bioinformatics pipelines.
Impact
This compression tool enables:
- Reduced storage costs for large-scale genomic projects
- Faster data transfer and backup operations
- Real-time compression for sequencing pipelines
- More efficient cloud-based genomic analysis
Applications
- Large-scale sequencing projects
- Genomic data archiving
- Cloud-based bioinformatics platforms
- Real-time sequencing data processing
Authors
Ioannis Mouratidis
(he/him)
Research Engineer
Research engineer focused on AI safety, alignment, and AIxBio security. I study how
capabilities and values emerge during model training and build scalable interventions to align
frontier models, drawing on deep expertise in biosecurity and biological foundation models.
38 publications (12 first or senior author) and 3 patents in large-scale data analysis and ML
for biology; co-founded an AI-driven cancer-diagnostics startup and authored grants securing
$4M+ in competitive funding.