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.
Pharma researchers are tasked with organizing disparate data, which detracts from time spent understanding disease mechanisms and enabling the development of more effective drugs. Paradigm4 is tackling this issue with a new platform based on a novel approach to data organization and elastic computing. Even companies with small budgets can
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 extraordinary pace and productivity of Alnylam’s RNAi therapeutics pipeline.
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.
