Services

End-to-end computational biology support

For pharma and biotech teams.

01

Multi-Omics Data Analysis

Comprehensive analysis of high-dimensional biological datasets — RNA-seq, single-cell RNA-seq, proteomics, and integrated multi-omics approaches. From experimental design through to publication-ready results.

  • Bulk and single-cell RNA-seq analysis
  • Spatial transcriptomics
  • Proteomics data analysis
  • Multi-omics data integration
02

AI for Data Analysis

Practical LLM tooling for biomedical research — accelerated data analysis and knowledge discovery, with the guardrails to make it trustworthy.

  • LLM-accelerated analysis of RNA-seq, proteomics, clinical-trial, and real-world data
  • Knowledge discovery from biomedical literature, internal documents, and patents
  • Custom LLM tools and workflows tailored to your team’s data and questions
  • Checking LLM outputs against ground truth — accuracy benchmarks and hallucination detection
03

Biomarker Discovery & Target Nomination

Leveraging large-scale genomic, genetic, and proteomic datasets to identify novel biomarkers and support target nomination for drug discovery programs.

  • Biomarker identification from patient and preclinical data
  • Target nomination support using multi-omics evidence
  • GWAS, PheWAS, eQTL, and pQTL analyses
  • Biobank-scale genetic analysis (UK Biobank and similar)
04

Bioinformatics Pipeline Development

Custom bioinformatics pipelines across any omics technology — NGS, proteomics, spatial transcriptomics, single-cell, metabolomics — built for reproducibility, scalability, and integration with your existing infrastructure.

  • Pipeline development across NGS, proteomics, spatial, single-cell, and other omics modalities
  • Custom algorithm development for sequencing and high-dimensional omics data
  • Pipeline optimization and modernization
  • Reproducible & auditable analysis — make your computational work reviewer-ready and audit-traceable

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