Explore our services

From raw data to biological insight

• Comprehensive NGS, proteomics, and metabolomics analyses
  
• Biological interpretation through term enrichment, GSEA, and GSVA
  
• Co-expression and correlation networks to uncover structure in your data

Turn your measurements into meaningful biological stories.

Beyond differential expression

• Reconstruction of regulatory networks using structural equation models, Bayesian approaches, and network learning
  
• AI tools and Machine learning for subgroup discovery and classifier development
  
• Integrated analysis of complex, multi-layered datasets

Because biology rarely stops at a single gene or pathway.

Smart use of existing data

• Integration of public genomics and transcriptomics datasets (ArrayExpress, SRA, GDC)
  
• Reuse of public proteomics resources (ProteomeXchange)
  
• Contextualization of your own experiments with large reference cohorts

Leverage existing data to accelerate discovery and reduce costs.

Learning, publishing, and doing it right

• Study design, power estimation, and experimental planning
  
• Reproducible workflows in R / Quarto and Python
  
• Training in omics data analysis
  
• Publication-ready figures and Materials & Methods support

From first analysis to final manuscript — we support the full journey.