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Technology Networks | How Can Data Platforms Unlock the Power of Single-Cell Analysis?

Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. But the value of these systems risks being impaired by bottlenecks in data analysis and handling. To find out more, we spoke to Marilyn Matz, CEO and co-founder of Paradigm4, an analytics solutions company that aims to provide solutions to these data problems.

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54 Gene enlists Paradigm4 app for African Health Information Ecosystem

Paradigm4 has signed an agreement with 54Gene allowing the latter to use the former’s Reveal Biobank App to explore, characterise and query 54Gene’s African Health Information Ecosystem, which is a curated data source of clinical phenotype and genetic information from which insights can be generated to assist the development of

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Biospace || Paradigm4 Joins the Tetra Partner Network to Leverage Tetra Data into High-performing Analytical Computing Applications for Pharmaceutical Customers

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.

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Biocompare || Introduction to Spatial Metabolomics

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.

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