Phil Charles

Bioinformatician, @ceclindgren group and formerly @kesslerlabox. Maybe a bit too fond of javascript.

[Maria Kaisar @kaisar_maria]

Age-Modulated Immuno-Metabolic Proteome Profiles of Deceased Donor Kidneys Predict 12-Month Posttransplant Outcome
@philcmsms
@bdi_oxford
@InQuod
@kesslerlabox
@NDSurgicalSci
@NHSBT_RD
that https://t.co/DOF0VB5WaX
@beck_vaughan
@Sarahfawwaz

[Matthias Mann Lab @labs_mann]

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. https://t.co/1xhU5oHmHU

[Vadim Demichev @DemichevLab]

(1/n) How accurate and precise are DIA (dia-PASEF here) peptide quantities? https://t.co/XqR4Mu64fj. This is affected not just by quantification algorithms but also the FDR of MBR.

[Claudia Vanea @claudiavanea]

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! @glfrontiers🧵

https://t.co/vWbEsj7An5

[Elisa Granato @Prokaryota]

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

[Cecilia Lindgren @ceclindgren]

I am so very proud to have been awarded the 2023 Mary Lyon Medal by the @GenSocUK ✨

[Phil Charles @philcmsms]

Clear and efficient summary of Oxford whole organ perfusion studies by @JPHunterTxSurg (with lots of high res pictures to follow lunch 🙂) plus of course shout out to Mito Queen @letizia_lofaro at @InQuod.

[Phil Charles @philcmsms]

.@InQuod symposium 2022 about to begin in Newcastle. Ready for a day of cool transplant science!

[CAMS Oxford Institute @CAMS_COI_Ox]

Work with @adanpinto, @BenediktKessler & @TaoDong14 on enhancing cancer immunotherapy. #CancerResearch #Immunotherapy
https://t.co/i5fg6CgoQT

[Phil Charles @philcmsms]

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

[ErrantScience @ErrantScience]

Gantt charts are one of the few charts that are entirely made from wishful thinking

[Fengchao Yu @fcyucn]

#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.

[Phil Charles @philcmsms]

Full marks for paper title

[Molecular Neurodegeneration @MolNeuro]

'Liver-ing in your head rent free: peripheral ApoE4 drives CNS pathology'

Lesley Golden & Lance Johnson @LJohnsonLab @UKSBCoA @UKYMedicine #apoe #AlzheimersDisease

https://t.co/zWX2OZqCft

[Phil Charles @philcmsms]

@ceclindgren @bdi_oxford @kaisar_maria Closes in 2 weeks!

[Phil Charles @philcmsms]

🚨Postdoc Position🚨
@ceclindgren lab at @bdi_oxford are looking for a #proteomics and #IntegrativeOmics bioinformatician to look at transplant outcomes w/ @kaisar_maria & ADMIRE. Come join a lovely lab working with a huge range of bioinf techniques!

👉https://t.co/n3gnwVQMd9

[Kidney Research UK @Kidney_Research]

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.

[Kessler Group Oxford @kesslerlabox]

HT-MS maps the sepsis plasma proteome and clinical subgroups in 2622 patients @proteomOX @KnightGenetics @RomanFi13911774 @philcmsms @CmdOxford @NDM https://t.co/cO2NGnVHMw

[Phil Charles @philcmsms]

Closes on Tuesday!

[Phil Charles @philcmsms]

🚨Postdoc Position🚨
Come work at the awesome, lovely, welcoming @ceclindgren lab at @bdi_oxford, in collaboration with @kaisar_maria & the ADMIRE project. We're modelling kidney transplant outcomes, integrating omic, imaging & clinical data.
Closes 26/7.

https://t.co/XpT7soVJbN

[Phil Charles @philcmsms]

@FranklinSystems @LabVermeulen @BenediktKessler @RobKlose Yay! Congrats indeed!