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Ex-Google chief’s venture aims to save neglected science software go.nature.com/3o4r2HO

Do you want to investigate whether a peptide not detected by the search engine is really present in the raw data using the deep learning prediction? Explore AlphaViz that allows you to do this and much more in our preprint out now on bioRxiv! biorxiv.org/content/10.110…

Closes on Tuesday!

HT-MS maps the sepsis plasma proteome and clinical subgroups in 2622 patients @proteomOX Knight Genetics Roman Fischer Phil Charles Centre for Medicines Discovery @NDM medrxiv.org/content/10.110…

Dr Maria Kaiser discussing the Admire Study, which assesses donor kidneys and monitors transplant recipients with the aim of ensuring that more non-suitable kidneys are excluded before they are transplanted.

Full marks for paper title

Work with Adán Pinto Fernández, Benedikt Kessler & Tao Dong on enhancing cancer immunotherapy. #CancerResearch #Immunotherapy ndm.ox.ac.uk/study/dphil-th…

#proteomics #SoftwareDeveloper Please vote. Which one is better? Closed source project with good methods description and tutorials. Or open source project with bad/vague methods description and (almost) no tutorial.

First two lines are spot on, but I can under-predict a Gantt without any outside help

.QUOD - Quality in Organ Donation symposium 2022 about to begin in Newcastle. Ready for a day of cool transplant science!

Clear and efficient summary of Oxford whole organ perfusion studies by James Hunter (with lots of high res pictures to follow lunch 🙂) plus of course shout out to Mito Queen Letizia Lo Faro at QUOD - Quality in Organ Donation.

I am so very proud to have been awarded the 2023 Mary Lyon Medal by the The Genetics Society ✨

when you're only allowed 4 figures in the main text

I’m excited to share our paper ‘A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs’ which was selected for oral presentation at the New Frontiers in Graph Learning workshop at NeurIPS 2022! Graph Learning Frontiers🧵 arxiv.org/abs/2211.06292

(1/n) How accurate and precise are DIA (dia-PASEF here) peptide quantities? nature.com/articles/s4146…. This is affected not just by quantification algorithms but also the FDR of MBR.

Goodbye to weeks-long quantification! directLFQ for label-free quantification (LFQ) allows arbitrarily large #proteomics sample cohorts (>100,000) at improved accuracy. It shifts ion traces on top of each other, scaling linearly in DDA or DIA. biorxiv.org/content/10.110…

Age-Modulated Immuno-Metabolic Proteome Profiles of Deceased Donor Kidneys Predict 12-Month Posttransplant Outcome Phil Charles Big Data Institute QUOD - Quality in Organ Donation Kessler Group Oxford Nuffield Department of Surgical Sciences NHSBT R&D that medrxiv.org/content/10.110… @beck_vaughan Sarah Fawaz