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Showing 1–10 of 10 results
Advanced filters: Author: Julia Foreman Clear advanced filters
  • High-resolution sampling across thousands of kilometres of open ocean reveals a hotspot of viruses at the boundary of major oceanic gyres that, at times, shaped the abundance and biogeography of marine picocyanobacteria.

    • Michael. C. G. Carlson
    • François Ribalet
    • Debbie Lindell
    ResearchOpen Access
    Nature Microbiology
    Volume: 7, P: 570-580
  • Artificial intelligence has become popular as a cancer classification tool, but there is distrust of such systems due to their lack of transparency. Here, the authors develop an explainable AI system which produces text- and region-based explanations alongside its classifications which was assessed using clinicians’ diagnostic accuracy, diagnostic confidence, and their trust in the system.

    • Tirtha Chanda
    • Katja Hauser
    • Titus J. Brinker
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-17
  • Light and temperature interact to control hypocotyl elongation in Arabidopsis. Here, Johansson et al.use experimental data and mathematical modelling to describe a photothermal molecular switch where temperature governs whether light represses or activates elongation.

    • Henrik Johansson
    • Harriet J. Jones
    • Karen J. Halliday
    ResearchOpen Access
    Nature Communications
    Volume: 5, P: 1-8
  • Clinical classification of genomic variants identified on sequencing is often challenging, with many variants classified as Variants of Uncertain Significance (VUS) on account of insufficient evidence. Advances in sequencing and gene synthesis has made feasible multiplexed assays of variant effect (MAVEs), which quantify the functional impact of many thousands of genomic variants in a single experiment. These assays and the functional evidence they generate have the potential to empower more accurate clinical variant classification. However, there are many outstanding challenges and opportunities that require joint resolution and specification, thus necessitating communication between the research scientists who have designed and performed MAVEs and the clinicians and diagnostic scientists who will apply their data to clinical variant classification. In the ‘Clinical Application of MAVE Data’ workshop, held on 12th July 2023 at the Wellcome Connecting Science Conference Centre in between two relevant research meetings, ‘Curating the Clinical Genome 2023’ and the ‘Mutational Scanning Symposium 2023’, 44 key scientific and/or clinical stakeholders were brought together to consider important questions relating to clinical application of MAVE data, such as quantitative validation, variant truth-sets, platforms and standards for dissemination of MAVE data. The outcomes and possible next steps that were discussed encompassed development of focused workshops to develop consensus recommendations, creating a MAVE evaluation working group, and collaboration of ClinVar and MaveDB to enact software changes that support enhanced functional data submission.

    • Sophie Allen
    • Alice Garrett
    • Clare Turnbull
    News & ViewsOpen Access
    European Journal of Human Genetics
    Volume: 32, P: 593-600