Simon Cockell on Muck Rack

Simon Cockell

Newcastle upon Tyne
As seen in: Color Research & Application, Nature, Science Magazine, Cell Press, GIGAZINE
Senior Lecturer in Bioinformatics @UniofNewcastle, Director of Research @NclBNS. #rstats, Python, etc. Gateshead/Newcastle resident. Husband. Dad. Views my own.
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Articles

Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity - Communications Medicine

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By Henry J Grantham, Graham Smith Verified, David Watson, Simon Cockell, Rafael Henkin, Tom Ewen, Shoba Amarnath, Sandra Ng, Paolo Zuliani, Nick Dand, Kathleen Smith, Paola Di Meglio, Catherine Smith, Michael Barnes, Nick Reynolds
| Nature Verified
Abstract Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phenotypes and disease severity is poorly defined. Knowledge gaps include whether molecular endotypes of psoriasis underlie distinct clinical phenotypes and the positive and negative molecular regulators of disease severity across tissue compartments.
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RNA Sequencing Demonstrates Ex Vivo Neocortical Transcriptomic Changes Induced by Epileptiform Activity in Male and Female Mice

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By Alec J Vaughan, Laura J. McMeekin, Isaac W Stubbs, Simon Cockell
| eneuro.org
Availability of data The code/software described in the paper is freely available online at https://rb.gy/spf86r. The code is available as Extended Data. The code was run on a MacBook Air (Retina, 13-inch, 2019) using the macOS 12.7.1 operating system. The RNA sequencing datasets generated and analyzed during the current study are available on the NCBI SRA website under the token PRJNA1032094.
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Genome-wide association study of non-alcoholic fatty liver and steatohepatitis in a histologically characterised cohort

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By Quentin M Anstee, Rebecca Darlay, Simon Cockell, Marica Meroni
| hal.science
Genome-wide association study of non-alcoholic fatty liver and steatohepatitis in a histologically characterised cohort Mots clés NAFLD NASH Fibrosis GWAS PNPLA3 TM6SF2 GCKR HSD17B13 SNP Fichier principal PIIS0168827820302130.pdf (1.27 Mo) Télécharger le fichier Origine : Publication financée par une institution Licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification
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