
Multi-omics
data analysis
Exploring and integrating genomic, proteomic, transcriptomic and epigenetics data using tailor-made pipelines that are reproducible and robust.
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Algorithm
development
Development of unique proprietary algorithms to identify significant biomarkers, drugs, proteins, etc. from a range of sample types to model disease profiles, predict patient survivability and treatment regimes.
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Data mining
& integration
Repurposing historical and existing data to predict clinical outcomes, screening databases for candidate genes, drugs, proteins etc. and mapping client data to fit within the existing body of data.
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Pipeline & app
development
Tailor-made development and deployment of complete pipeline frameworks, along with building both web and mobile based applications with reporting components that are fully customisable and easy to interpret.
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