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Development of a Scalable Cloud-Based DNA Sequencing Platform with Enhanced User Experience for Global Microbiology Applications

10clouds.com

Healthcare

Medical

Environmental Services

Challenges with Existing DNA Analysis System

The current DNA sequencing analysis system is unintuitive, requires high-performance computers and technical expertise, and delays patient recovery due to time-consuming and expensive laboratory processes.

About the Client

A spinoff from the Technical University of Denmark providing DNA sequencing analysis to combat infectious diseases via cloud-based algorithms and high-performance computing.

Key Goals for System Enhancement

Create a user-friendly web platform accessible from any device
Implement scalable cloud infrastructure for cost-effective high-performance computing
Enable rapid DNA analysis with transparent reporting
Eliminate dependency on specialized hardware and technical expertise
Ensure secure cloud storage and accessibility of analyzed data

Core System Functionalities

Scalable AWS-based infrastructure for dynamic resource allocation
User-friendly DNA analysis tool with one-click processing
Automated generation of legible, data-rich reports
Cloud storage for files and results with version control
Team collaboration features for file sharing and result comparison

Technology Stack Requirements

AWS cloud infrastructure

Web application frameworks (frontend/backend)

High-performance computing (HPC) solutions

Data encryption and security protocols

System Integration Needs

Cloud storage APIs (e.g., S3)
Collaboration tools API (e.g., Slack or Microsoft Teams)
Genomic analysis algorithm libraries

Performance and Scalability Criteria

Horizontal scalability for variable workloads
Sub-5-minute analysis processing SLA
99.9% system availability
HIPAA-compliant data security
Cost-optimized resource utilization

Expected Business and Operational Impact

The new platform will reduce DNA analysis time from days to minutes, lower computational costs through dynamic resource scaling, enable global accessibility for non-technical users, and accelerate infectious disease research through collaborative features while maintaining strict data confidentiality.