Bulk transcriptomic processing white paper
Explore how Epigene Labs addresses the challenges of fragmented bulk transcriptomic data in oncology. Our white paper presents a scalable framework to process, harmonize, and analyze large datasets from GEO, GDC, and ArrayExpress, unlocking biomarker discovery, cross-study integration, and actionable insights for precision oncology.
ISO 27001 and HDS: How we built a security-first infrastructure for health data
This partnership aims to accelerate and increase precision of Servier’s oncology clinical trials enabled by Epigene’s mCUBE platform.
Epigene Labs at JOBIM 2025: Data Engineering, Open Science and Scalable Tools in Action
This partnership aims to accelerate and increase precision of Servier’s oncology clinical trials enabled by Epigene’s mCUBE platform.
InMoose: the open-source Python tool for omics data analysis in bioinformatics
This partnership aims to accelerate and increase precision of Servier’s oncology clinical trials enabled by Epigene’s mCUBE platform.
