Faster Genome Sequencing with Quantum Applications

Imagine a solution for faster genome sequencing. Without prior expertise in genome sequencing, we build a case for targeting specific markets and industries, exploring both traditional and new applications for this groundbreaking technology.

Key Assumptions

• The solution offers identical quality at 100x faster processing speed
• Cost is 10x higher than existing solutions
• Requires a dedicated facility (available as a service or customer-managed)

Market Applications and Use Cases

The Human Genome Project initiated numerous initiatives in genome mapping, with Celera Corporation’s breakthrough disruption. The time may be right for another quantum computing-driven disruption in genomics analytics.

Omics Disciplines and Applications

1. Genomics - Study of genes and their functions
2. Epigenomics - Study of epigenetic modifications
3. Transcriptomics - Study of RNA transcripts
4. Proteomics - Study of proteins
5. Metabolomics - Study of metabolites
6. Lipidomics - Study of cellular lipids
7. Glycomics - Study of sugars and carbohydrates
8. Foodomics - Study of food and nutrition
9. Pharmacogenomics - Study of genetic variation in drug response
10. Toxicogenomics - Study of toxic substances’ effects on genes
11. Metagenomics & Culturomics - Study of genetic material from environmental samples

Business Model Innovations

1. Comprehensive Consumer Genomics Tests and Data Banks

   • Example: 23 & Me – Consumer reporting on genetic predispositions

2. Individual Health Planning

   • Genetic Health Planning – Predictive health using genetic variations

3. Services Based on Genomic Tests

   • Example: Genetrainer – Personalized training plans using genomic data

4. Medical Precision Tests

   • Example: Myriad Genetics – Inherited disease predisposition screening

5. Restricted Trait Tests

   • Example: Genecodebook Oy – Disease-causing gene variant testing

Market Size and Growth

The global genomics market shows significant growth potential:

• 2020: ~$23.11B
• 2030 Projection: ~$94.65B
• US Market: Expected growth from ~$10B (2020) to ~$40B (2030)

Potential Customers

Life Sciences

• Illumina
• Guardant Health
• 10X Genomics
• Roche
• Abbott Molecular
• Abbott Corelabs

Healthcare Providers

• NHS UK
• SNUH
• NHGRI

Healthcare Payers

• UHG Optum
• Aetna DNA

Solution Requirements

1. Strategy scenario simulations using System Dynamics modeling
2. Business case creation for board room approval
3. TCO/ROI analysis
4. Architecture for proof-of-concept through production
5. Program management office
6. Center for Excellence in HPC-Cloud-Quantum

Recommendations

To determine the feasibility of Quantum Genomics Application solutions, we recommend:

1. Conducting a brainstorming workshop with key stakeholders
2. Reviewing current research in Quantum Computing for Genomics
3. Developing a detailed Go To Market plan
4. Establishing partnerships with key vendors (Dell, AWS, Microsoft, GCP)
5. Creating a comprehensive TAM Model

Future Developments

Recent research by Nvidia suggests promising applications of Quantum Neural Networks in training Large Language Networks for genomics, potentially revolutionizing the field through hybrid cloud HPC and Quantum Computing approaches.

For more information or to participate in collaborative activities, please contact rajiv@pivotport.com.