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.
Popular opinion is that two big shifts have changed the game for bioinformatics. The first is a technology development—single cell ‘omics—that began just over 10 years ago, the other is a more recent move to a new model of drug discovery that looks to leverage the vast amounts of human
Paradigm4, an integrated scientific data analytics company, has launched flexFS, its elastic cloud file system for flexible and more resource-efficient data storage and scalable computing.
