Allotrope Connect Fall 2020 Conference presentation: Leveraging millions of ADF files and enabling Data Science in Pharma with Python and R

Metabolomics—often referred to as the youngest of the omics—provides key insight into phenotype. However, bulk metabolomics requires the homogenization of the sample and is thus unable to discern metabolic differences at a cellular level.

Paradigm4’s Marilyn Matz and Zachary Pitluk discuss the challenges of integrating data from heterogeneous sources and how the company’s plaform and apps combine the cutting edge of computer science and a sensibility geared toward the unique needs of pharma and biopharma to provide end-to-end solutions.

Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. by Ruairi J MacKenzie