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.
Over the past 5 decades or so, the growing understanding that RNA can influence protein function through routes other than direct translation has opened the prospect of discovering small molecules for tackling diseases in novel ways.
Peptides play important roles in human physiology. They present as intact peptides or can arise from protein degradation. Regardless of the source, peptidomics—the characterization of intact peptides in a biological sample—is fast emerging as an approach to uncover another layer in human health and disease.
The recent Human Cell Atlas (HCA) 2022 General Meeting, hosted in Vienna, Austria, provided a great opportunity for me to catch up on progress towards the HCA’s goal of mapping every cell type in the human body. I also got the chance to hear presentations that either highlighted new insights gleaned from HCA data or described the outcomes from ongoing collaborations between research groups.
Paradigm4 has introduced the ‘Precision Cell Atlas’ as an integral component of its REVEAL: SingleCell app. The Precision Cell Atlas enables scientists to create a custom cell atlas by selectively combining an unlimited number of samples from multiple datasets for specific research objectives and explicitly saving them for collaboration, reuse, and regulatory filings
Marilyn Matz, Chief Executive Officer and Co-Founder, Paradigm4 “Genomics’ role in the life science vision “is only as credible as its implementation,”
Zachary Pitluk, Ph.D., Vice President of Life Sciences and Healthcare at Paradigm4, highlights how real insight comes, not from data collection, but from intelligent data curation, computation, and application.
Life science researchers and drug discovery scientists today work in what, in my view, will be remembered in the future as the beginning of a “golden era” where the power of genetic information is connected to a wide range of other healthcare and lifestyle data to support better understanding of disease etiology
TetraScience, the R&D Data Cloud company, announced today that Paradigm4, an integrated scientific data analytics company, has joined the Tetra Partner Network (TPN) so that pharmaceutical customers can accelerate research decision-making using Tetra Data as a foundation for analytical computing.
Calculating the true value of scientific data storage platforms is the goal of every developer. With millions of cells to analyze, digital solutions are the key