High-Performance Computing
for Genomic Research

A leading academic research team studying hair phenotype genetics across populations faced computational bottlenecks in analysing massive genomic datasets. They needed to generate millions of simulated genotypes while ensuring statistical accuracy and creating compelling visualisations for publication.

• Scale R code for high-throughput cluster computing

• Generate millions of accurate simulated genotypes

• Optimise computational efficiency

• Create publication-quality visualisations

• Enable cross-population genetic analysis

1. Data Architecture Analysis

• Assessed existing computational workflows

• Identified performance bottlenecks

• Mapped data dependencies

• Designed scalable architecture

2. Technical Implementation

• Optimised R codebase for parallel processing

•  Implemented cluster computing integration

• Built automated QC protocols

• Developed visualisation pipeline

3. Solution Delivery

• High-performance computing framework

• Automated genotype simulation system

• Interactive visualisation toolkit

• Documentation and knowledge transfer

Quantitative Outcomes

•  Indefinite running to rapid processing speed exploiting available cluster power

• Millions of genotypes simulated within hours

• Statistical accuracy reviewed and confirmed

• Full transparency of methods and open source code

Qualitative Benefits

• Enhanced research capabilities

• Publication-ready visualisations

• Scalable framework for future studies

•  Improved cross-population analysis

"UMBIZO's optimisation solutions transformed our computational capabilities, enabling analyses that were previously impossible. The Umbizo team is very professional, great communicators, and adhered to our timeline. Their expertise in both bioinformatics and data visualisation significantly enhanced our research impact. I look forward to having the opportunity to work together again!"

Dr. Tina Lasisi, Principal Investigator

• Initial Assessment: 1 week

• Implementation: 2 weeks

• Optimisation: 1 month

• Ongoing support and development

Expanding the framework to support additional genetic traits and developing new visualisation techniques for complex genomic interactions. Continued support with future research.