More sensitive technology spurs proteomic and metabolomic biomarker identification, clinical use. (Complete article on page 21)
More sensitive technology spurs proteomic and metabolomic biomarker identification, clinical use. (Complete article on page 21)
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
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.
Paradigm4’s Marilyn Matz reflects on the understanding complex biological phenomena has required concurrent advances in experimental methods and computing power.