Knowledge Hub for Scientific Innovation

Tailored bioinformatics support for clinical trials analyzing transcriptomic, proteomic & metabolomic data to understand mechanism of action and molecular endpoints for Urolithin A postbiotic research.

Characterizing cancer immunotherapy targets across tumor types using public omic data analysis, enabling biomarker discovery and clinical trial indication selection for T-cell engagers.

Investigating mechanism of action for a disease-modifying Parkinson's treatment using spatial and bulk transcriptomic data analysis in preclinical disease models.

Building comprehensive neuronal single-cell atlas through analysis and integration of single-cell datasets, studying developmental trajectories in neurobiology research.

Single-cell RNA-seq data analysis for molecular characterization of cortico-brainstem neurons vs corticospinal neurons in developmental and regenerative neurobiology.

GWAS and polygenic risk score analysis for cardiovascular and HPV-related endpoints in African cohorts as part of the PRIMED consortium research initiative.