Paradigm4’s Marilyn Matz reflects on the understanding complex biological phenomena has required concurrent advances in experimental methods and computing power.
Paradigm4’s Marilyn Matz reflects on the understanding complex biological phenomena has required concurrent advances in experimental methods and computing power.
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 REVEAL Integrative Analytics platform enables Alnylam Pharmaceuticals to discover novel, genetically-validated drug targets from population scale biobank genotype-phenotype datasets and underlies the pace and productivity of Alnylam’s RNAi therapeutics pipeline.
Marilyn Matz, CEO of Paradigm4, and Zachary Pitluk, Vice President of Life Sciences at Paradigm4, explain why scalable data science platforms are key to supporting integrated analysis of single-cell genomic data sets.