Utrecht, The Netherlands
Joined May 2010
- Tweets779
- Following161
- Followers98
- Likes40
Marc Pagès-Gallego retweeted
Nanopore sequencing from formalin-fixed paraffin-embedded specimens for copy-number profiling and methylation-based CNS tumor classification #neuropath
link.springer.com/article/10…
Marc Pagès-Gallego retweeted
Our R package for visualizing chromosomes, genes, SVs and copy number is published now. Usage is simple and flexible! academic.oup.com/bioinformat… github.com/cortes-ciriano-la…
ReConPlot: an R package for the visualization and interpretation of genomic rearrangements academic.oup.com/bioinformat…
Marc Pagès-Gallego retweeted
👏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.
👉diaridigital.urv.cat/estudia…
Marc Pagès-Gallego retweeted
🚀 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!
linkedin.com/jobs/view/37674…
Marc Pagès-Gallego retweeted
Fantastic work of the @JSchuije Lab! Congrats to all coauthors
Exciting times at @UMCU_CMM
Marc Pagès-Gallego retweeted
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
nature.com/articles/d41586-0…
Marc Pagès-Gallego retweeted
AI rapidly diagnoses brain tumours during surgery go.nature.com/3rW8G1n
Marc Pagès-Gallego retweeted
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.
youtu.be/1Ni2oaYyPZc
Marc Pagès-Gallego retweeted
🆕@Nature
Deep learning #AI during surgery, using low cost, intraoperative nanopore sequence, to rapidly classify tumors in <90 minutes
nature.com/articles/s41586-0… @jeroen_deridder
Marc Pagès-Gallego retweeted
New #NRMCBReview by @MariaRodrColman, Tobias Dansen & Boudewijn Burgering @UMCUtrecht discussing the ⚔️double-edged role of #FOXO transcription factors in stress responses
go.nature.com/3PMFbIo
Marc Pagès-Gallego retweeted
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.
Marc Pagès-Gallego retweeted
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 biorxiv.org/content/10.1101/…
Marc Pagès-Gallego retweeted
Ultra-fast deep-learned pediatric CNS tumor classification during surgery medrxiv.org/cgi/content/shor… #medRxiv
Marc Pagès-Gallego retweeted
📢Very proud to announce that our work on 5-FU and Metabolism in Colorectal Cancer is out there!🎉
@mcludikhuize➡️Leading force @NguyenN59410780 @S_SaraShafiei i.a.
#teamwork #metabolism #P53 #cancer @UMCU_CMM @kwf_nl #FundamentalResearch @CommsBio 📌go.nature.com/3NCzWbO 🧵1/5
Marc Pagès-Gallego retweeted
echtvar encodes variants (chrom, pos, ref, alt) into 32 bit ints and further compresses with stream-vbyte and other tricks (with overflow for large variants). It can then annotate with eg pop AF stupid fast. The paper with @jeroen_deridder is out in NAR
academic.oup.com/nar/advance…
Marc Pagès-Gallego retweeted
Does anyone know why raw samples from the PromethION have anomalies in the distribution (peaks followed by troughs)? Is it an artefact of the quantisation in the ADC? A biased comparator? A software round-off? Most peaks end with binary pattern 0111 and troughs 1000.
Marc Pagès-Gallego retweeted
echtvar encodes genetic variants (chrom,pos,ref,alt) into 32 bits and chunks the genome for compression+fast annotation. latest release improves error/warning messages: github.com/brentp/echtvar/re…
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Marc Pagès-Gallego retweeted
Our paper titled “Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features” is now online in @NatureComms!
@avhoeck @ecuppen
nature.com/articles/s41467-0…
Check out the tweetorial below:
Marc Pagès-Gallego retweeted
Our paper titled “Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features” is now online in @NatureComms!
@avhoeck @ecuppen
nature.com/articles/s41467-0…
Check out the tweetorial below:
Marc Pagès-Gallego retweeted
PolarMorphism has been published (open access)!
After helpful suggestions of the reviewers, we added an estimation of the false discovery rate of our statistical tests and rewrote some parts for clarity
academic-oup-com.proxy.libra…
biorxiv.org/content/10.1101/… Have you ever looked at many GWAS summary statistics to search for genetic variants that are associated with multiple phenotypes? It's time consuming and - because of the multiple testing correction for each additional phenotype - not very powerful. (1/n)
