Marc Pagès-Gallego

[Marc Pagès-Gallego @marcpges]

@jpelbers @jeroen_deridder @nanopore @UMCU_CMM @oncodeinstitute If you know where exactly the modification is, and the change in signal is sufficient, it should be applicable to other modifications.

[Marc Pagès-Gallego @marcpges]

@KubaSawicki_UWM @jeroen_deridder @nanopore @UMCU_CMM @oncodeinstitute The model was trained on R9.4.1, so it will fail on R10. Unfortunately, an R10 model would require significant changes in data design due to their larger nucleotide context, so it is not in our goals to make such model.

[Marc Pagès-Gallego @marcpges]

@wouter_decoster @jeroen_deridder @nanopore @UMCU_CMM @oncodeinstitute It's up ;)

[Marc Pagès-Gallego @marcpges]

@wouter_decoster @jeroen_deridder @nanopore @UMCU_CMM @oncodeinstitute I am working on it ;)

[My Neuropath News @NeuropathClinic]

Nanopore sequencing from formalin-fixed paraffin-embedded specimens for copy-number profiling and methylation-based CNS tumor classification #neuropath
https://t.co/woBl96uy3v

[Jose Espejo Valle-Inclan @je_valleinclan]

Our R package for visualizing chromosomes, genes, SVs and copy number is published now. Usage is simple and flexible! https://t.co/8JaIliGSZY https://t.co/y4dBvGgp3m

[Universitat Rovira i Virgili @universitatURV]

👏Enhorabona a les estudiants de Comunicació #URV Neus Jover i Clara Pagès, guanyadores d'un dels premis Ramon Barnils pel reportatge radiofònic "Tarragona, com respires?", que qüestiona diferents aspectes relacionats amb la petroquímica de Tarragona.

👉https://t.co/xOgPAYX2g5

[Cyclomics @cyclomics]

🚀 We're Hiring at Cyclomics! 🧬

Are you passionate about software development and data analysis? Do you thrive in a cutting-edge bioinformatics environment? If yes, then we have the perfect role for you!

https://t.co/F44l27Ptsg

[Maria Rodriguez Colman @MariaRodrColman]

Fantastic work of the @JSchuije Lab! Congrats to all coauthors
Exciting times at @UMCU_CMM

[Xavier Duran @xduran_e]

Un sistema d'IA anomenat Sturgeon ha estat capaç de classificar correctament 18 de 25 tumors cerebrals en menys de 45 minuts, cosa que permet als cirurgians fer servir la informació durant l'operació
https://t.co/SBmsEHKHV3

[nature @Nature]

AI rapidly diagnoses brain tumours during surgery https://t.co/AfEoY0RdHc

[Oncode Institute @oncodeinstitute]

Research in @Nature! Researchers from @UMCUtrecht and researchers, pathologists and neurosurgeons from the @prinsesmaximac and @amsterdamumc collaborated. In this video, Oncode Investigator @jeroen_deridder explains the most important conclusions.
https://t.co/CyyTibV9gJ

[Eric Topol @EricTopol]

🆕@Nature
Deep learning #AI during surgery, using low cost, intraoperative nanopore sequence, to rapidly classify tumors in <90 minutes
https://t.co/togHdUSEfQ @jeroen_deridder

[Nature Reviews Molecular Cell Biology @NatRevMCB]

New #NRMCBReview by @MariaRodrColman, Tobias Dansen & Boudewijn Burgering @UMCUtrecht discussing the ⚔️double-edged role of #FOXO transcription factors in stress responses

https://t.co/lNVXI5Y7tC

[brent pedersen @brent_p]

The fam and I have moved back to the Netherlands 🤷🚲🌦️.
I'm fortunate to be doing a bit of work with @fulcrumgenomics and am looking for other contracting work especially for next couple of months.

Please get in touch if you have something I can help with.

[Steven Salzberg 💙💛 @StevenSalzberg1]

Major, fatal errors found in the data and methods of a 2020 paper in @Nature, including millions of reads mis-identified as bacteria. The "cancer microbiome" in this study was simply not there. @abrahamgihawi @elapertea @YuchenGe1 @JenniferLu717 https://t.co/z5Aja84kiR

[Marc Pagès-Gallego @marcpges]

@NatureBiotech The reference links on the third paragraph are off by one.

[Marc Pagès-Gallego @marcpges]

@aldertzomer @jeroen_deridder @UMCU_CMM @oncodeinstitute @nanopore Yes, Bonito is the current architecture in guppy. If I am correct (might be wrong), all current guppy models use the Bonito architecture, but the super acc model is larger (and more compute expensive) than the hac and fast models.

[medRxiv @medrxivpreprint]

Ultra-fast deep-learned pediatric CNS tumor classification during surgery https://t.co/hfNrV1iXyY #medRxiv

[Marc Pagès-Gallego @marcpges]

@JosephGuhlin @vellamike @Hasindu2008 You could prepare the data with bonito, and add the noise in the hdf5 file later to be used by bonito.