Bioinformatics lab | UMC Utrecht, The Netherlands | @UMCU_CMM @oncodeinstitute #Machinelearning #CancerGenomics #Nanopore
UMC Utrecht
Joined July 2022
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De Ridder Lab 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
De Ridder Lab retweeted
What if you could characterise brain tumours in hours, rather than weeks? And in doing so allow neurosurgeons to adjust their surgical strategies on the spot.
Here, researchers showed that they were able to do just that by leveraging nanopore technology: bit.ly/46BH8x4
De Ridder Lab retweeted
Nature research paper: Ultra-fast deep-learned CNS tumour classification during surgery go.nature.com/3rEc1Ch
Check out our latest work “Comprehensive benchmark and architectural analysis of deep learning models for nanopore sequencing basecalling'' 🧬👇
New research from @jeroen_deridder @marcpges @oncodeinstitute focusing on nanopore-based #DNAsequencing and its reliance on basecalling, with the goal of establishing a basecalling benchmark baseline to facilitate the benchmarking of new basecaller tools
bit.ly/3moAOYt
Check out our latest work “Ultra-fast deep-learned pediatric CNS tumor classification during surgery'' @marcpges 👇💻.
Ultra-fast deep-learned pediatric CNS tumor classification during surgery medrxiv.org/cgi/content/shor… #medRxiv
De Ridder Lab retweeted
Ultra-fast deep-learned pediatric CNS tumor classification during surgery medrxiv.org/cgi/content/shor… #medRxiv
De Ridder Lab 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:
De Ridder Lab retweeted
I'm presenting in the VarI (variant interpretation) COSI, Tuesday 12th of July at 4 pm Madison time. If you have any questions or want to know more, feel free to message me!
Here is a link to the published Bioinformatics paper: doi.org/10.1093/bioinformati…
De Ridder Lab retweeted
I'm at #ISMB2022 to present PolarMorphism, a method to identify pleiotropic SNPs (which affect multiple traits) from GWAS summary statistics. Even if you are not interested in SNPs but would like to hear about a new way to integrate data using polar coordinates, come to my talk!
De Ridder Lab retweeted
Congratulations to Oncode Investigator @jeroen_deridder (@UMCUtrecht) and his research team for successfully finalizing their CPoC study!🎉
🔎They tested if cell-free DNA biomarkers are a reliable method to identify treatment (non)-responders.
More info➡️ loom.ly/MCxsd4k
De Ridder Lab retweeted
.@jeroen_deridder demonstrated the future potential of #WGS CyclomicsSeq which 'integrates multiple signals derived from ctDNA, including SNVs, CNVs, & fragmentation patterns, enabling monitoring of #cancer with unprecedented dynamic range.'
Watch here: bit.ly/3NAyEMI