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His group develops the computational and statistical tools necessary to exploit high-throughput genomics data, with the aim of understanding the regulation of gene expression and modelling developmental and evolutionary processes. Within this context, the Marioni group focuses on understanding how the divergence of gene expression levels is regulated, using gene expression as a definition of the molecular fingerprint of individual cells to study the evolution of cell types, and modelling spatial variability in gene-expression levels within a tissue or organism. These three strands of research are brought together by single-cell sequencing technologies. John has a joint appointment at the Wellcome Trust Sanger Institute and the University of Cambridge.
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论文共 280 篇作者统计合作学者相似作者
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Nature Biotechnologyno. 2 (2024): 284-292
Simone Mazzaferro,Hsiao-Jou Cortina Chen, Olivier Cahn,Andrian Yang, Dmytro Shepilov, Jiahui Chen, Contanza Alcaino, Viviana Macarelli,Iman Mali,Fiona Gribble,Frank Reimann,John Marioni,
biorxiv(2024)
Jasper Panten,Tobias Heinen,Christina Ernst,Nils Eling, Rebecca E. Wagner, Maja Satorius,John C. Marioni,Oliver Stegle,Duncan T. Odom
biorxiv(2024)
L Peruzzotti-Jametti,C M Willis, R Hamel,G Krzak,J A Reisz,H A Prag,V Wu, Y Xiang,A M R van den Bosch,A M Nicaise, L Roth,G R Bates,
bioRxiv : the preprint server for biology (2024)
Genome Biologyno. 1 (2024): 1-15
Austin D Reed,Sara Pensa, Adi Steif, Jack Stenning,Daniel J Kunz, Linsey J Porter, Kui Hua,Peng He, Alecia-Jane Twigger, Abigail J Q Siu,Katarzyna Kania, Rachel Barrow-McGee,
Nature geneticspp.1-11, (2024)
bioRxiv (Cold Spring Harbor Laboratory) (2023)
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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Nature Cell Biologyno. 7 (2023): 1061-1072
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