Enhancing Genomics Workflow and Computational Efficiency with WASAI and Advantech’s High-Speed Analytics Platform
6/27/2024
Download the full whitepaper to explore how Advantech and WASAI are driving innovation in genomic research, enhancing workflow efficiency, and paving the way for the future of precision medicine.
Introduction:
- Next-Generation Sequencing (NGS) Revolution: Explore how NGS is transforming DNA sequencing, generating vast amounts of genomic data.
- Challenges in Genomic Data Processing: Understand the hurdles in maintaining accuracy and efficiency in handling extensive raw data during secondary analysis.
Key Challenges:
- High-Performance Computing Demand: The exponential growth in genomic data requires robust HPC solutions.
- Data Management Issues: Discover the complexities of managing and analyzing vast genomic datasets.
Innovative Solution:
- WASAI-Lightning Bio-IT Platform: Learn about this platform’s advanced capabilities, employing Agilex-based FPGA cards for efficient genomic analysis.
- Advantech’s High-Performance Servers: Explore the powerful SKY-820V3, SKY-620V3, and SKY-8234D servers, optimized for computationally demanding tasks.
Case Studies:
- Yonsei University Mirae Campus: See how this South Korean institution leverages the platform for disease research and AI-driven medical projects..
- National Taiwan University College of Medicine: Understand how Taiwanese researchers use this technology for large population cohort studies.
Performance and Validation:
- Speed and Accuracy: WASAI’s platform accelerates genome sequencing and maintains a high accuracy rate, revolutionizing secondary analysis.
- Efficiency Gains: Realize the significant performance improvements, reducing genome sequencing time from 30 hours to just 3 hours.
Conclusion:
- Future of Genomic Analytics: Embrace the potential of hardware acceleration in advancing precision medicine, offering faster and more accurate genomic analysis.
- Why Choose Advantech and WASAI: Discover the benefits of this collaborative solution, providing scalable, flexible, and cost-effective genomic analysis.
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