Framework for analyzing large-scale metabolomic data
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Jul-2025 08:10 ET (5-Jul-2025 12:10 GMT/UTC)
Statisticians from the National University of Singapore (NUS) have developed a pioneering approach for analysing population-scale metabolomic data, marking a major advancement in the precision and depth of metabolic profiling. This new method promises to improve both personalised healthcare and preventive medicine by improving the accuracy and interpretability of metabolic analyses.
A research team sheds light on the intricate regulatory mechanisms governing anthocyanin biosynthesis in horticultural plants, offering insights that could enhance plant traits and agricultural productivity.
A research study led by Oxford University has developed a powerful new technique for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing. This could end a decades-long search for inexpensive materials that can host unique quantum particles, ultimately facilitating mass production of quantum computers. The results have been published today (29 May) in the journal Science.
Scientists at University College Cork (UCC) in Ireland have developed a powerful new tool for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing.
The significant breakthrough means that, for the first time, researchers have found a way to determine once and for all whether a material can effectively be used in certain quantum computing microchips.
A new study in iScience integrated mathematical modeling with advanced imaging to discover that the physical shape of the fruit fly egg chamber, combined with chemical signals, significantly influences how cells move. Cell migration is critical in wound healing, immune responses, and cancer metastasis, so the work has potential to advance a range of medical treatments. To the authors’ knowledge, this is the first study that actively considers the role of both chemical and structural signals in cell migration.