Inferring causality of the microbiome in gastric ulceration

Inferring causality of the microbiome in gastric ulceration

The Challenge The faculty sought to understand how feed size and gastric microbiota contribute to ulcer development in pigs. Identifying causal relationships required advanced biostatistics and careful handling of complex microbiome data. Our Approach We built causal...
Custom single‑cell analytic pipeline & visualization toolkit

Custom single‑cell analytic pipeline & visualization toolkit

The Challenge The client works with large single‑cell RNA‑sequencing datasets that require advanced processing, scalable infrastructure and intuitive exploration tools. They wanted a central system for processing, analysing and visualising these data. Our Approach We...
ML‑based antimicrobial activity & toxicity prediction

ML‑based antimicrobial activity & toxicity prediction

The Challenge Antimicrobial resistance threatens global health, and designing antimicrobial peptides requires balancing efficacy and toxicity. Madam Therapeutics needed to predict activity and toxicity of synthetic peptides quickly to accelerate discovery. Our...
Defining therapeutic compound potential

Defining therapeutic compound potential

The Challenge A biotech company specialising in therapeutic antibodies wanted to assess the potential of a lead compound in a novel disease indication. They needed to mine public single‑cell RNA‑sequencing datasets to evaluate target gene expression and understand...
Omics‑driven diagnostics in companion animals

Omics‑driven diagnostics in companion animals

The Challenge A leading animal health company had amassed large volumes of molecular data and needed to develop diagnostics for target disease in cats and dogs. They faced challenges in managing, integrating and extracting value from thousands of proteomic, genomic...