WhiteLab Genomics develops a proprietary platform that leverages graph knowledge technology and machine learning to help companies discover and design new genomic therapies. WhiteLab Genomics enables genomic medicine scientists to obtain precise and comprehensive answers to key scientific and technological questions such as optimizing payload andvector design, assessing genotoxicity, and identifying optimal experimental protocols for in vivo and in vitro strategies. Whitelab Genomics guides its clients through the in-silico development phases, allowing them to quickly develop target vectors and payloads while saving valuable time needed to provide patients with access to new genomic therapies.

Biotechnology

WhiteLab Genomics

David Del Bourgo

Abiramy Sinnadurai

Maud Thouverez

Timothé CYNOBER (Pharm D.)

Morgane Colléaux-Royer

Lucia Cinque

Julien Cottineau

Jean-Philippe Buffet

Bioinformatics & Computational Biology Team

Scientific and Data Science Team

WhiteLab Genomics

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Bioinformatics & Computational Biology Team

Scientific and Data Science Team

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