:)
#Bioinformatics Postdoc @vanvanka123 |
#rstats Epigenomics & ML |
@RWTH Aachen University |
🤓⌨️ |
eSports fan |
Decent home cook on a good day |
he/him
📢 Excited to announce our latest publication: 'CimpleG: finding simple CpG methylation signatures'! 🧬🔬
@GenomeBiology 👉 https://t.co/ljZJQTuWJj & https://t.co/xjahBGj4sO
CimpleG is a framework developed by me, @Marco2Sc, Myriam Erz, @lab_wagner and @vanvanka123 1/8 🧵👇
With Bella Banjanin and Yevin Mun, it’s my pleasure to present our last hunting story. Using our joint expertise from the @vanvanka123 , @rschneiderlab , and Nombela-Arrieta Lab, we tried to find another missing piece of the complex bone marrow fibrosis puzzle.
1/5) We're extending the PILOT framework! Our new PILOT-GM-VAE is now published in Briefings in Bioinformatics. It combines Gaussian Mixtures + VAEs for more powerful patient-level analysis of single-cell atlases. https://t.co/n3WLgTesf8
#SingleCellAtlas#VAE#OptimalTransport
It is our pleasure to anounce DAMVISEH in Odense, DK, on Nov. 27–28, 2025. We have an exciting lineup of speakers on topics as search, clustering, and visualization in high-dimensional spaces & applications in single-cell genomics. See https://t.co/9uF6sr88gp
In this paper, we use simulations to show that isolation-by-distance patterns in genetic diversity can persist long after habitat loss and fragmentation, revealing lasting signatures of past connectivity in fragmented species. A massive thank you to everyone involved!👏👏 (2/2)
Check out our @PNASNews paper that was published last week: https://t.co/ZQJiuTE8W6. An amazing work by @GabiSgarlata 🔥!! With contributions from me, @ZoetenTiago, Jordi Salmona, Rita Rasteiro, and @ChikhiLounes. Very happy to see this work published! (1/2)
🔬 Ever wonder how your immune system ages?
📊 We used single-cell multi-omics (RNA + ATAC) + bulk ATAC on PBMCs to build a cell-by-cell map of aging.
🧠 Find out which genes fade, which chromatin gates close and why some immune systems age slower.
👉 Poster C-482 #ISMBECCB2025
If it quacks like a duck, if it looks like a duck, if it walks like a duck, and if it flies like a duck, then... 🤷🏾♂️
Follow me in blue sky:
https://t.co/u4RsxrfV5F
Current methods in the field are trained on atlases ranging from 1 to 100 million cells. In our newest preprint, we show that these same approaches tend to plateau in performance with pre-training datasets that are only a fraction of the size.
And happy to announce that SIRGURD - our approach for single cell genotyping - has now been published in its final form: https://t.co/pRQ5FCshva . New version includes tutorials on additional single cell genotyping data https://t.co/GV9F9A7YPm
Analyzing whole genome DNA methylation data? Our new method MethyLasso is out in NAR! It can help you identify regions with low or partial methylation (LMR, UMR, DMV, PMD, PMD) or differentially methylated regions (DMR) and was benchmarked against others
https://t.co/83dtbhDStP
Free scientific illustrations for biologists! 😍
@NIH has released a library of 500+ free scientific illustrations to create figures, presentations, and illustrations!
all freely available in the public domain.
Retweet and spread the message!
https://t.co/p1bD1kxO7H
💥Cheeky 'little' update from @GencodeGenes v47, almost doubling the number of #lncRNA genes & ~4x more lncRNA transcripts. This was highlighted by @1QINGWANG when observing the greater quality of our reference-guided de novo TxOme assemblies from deep direct RNA sequencing data
Thrilled to share PHLOWER, which uses Hodge Laplacians to build trajectory-level embedding for inferring complex cellular differentiation trees from multimodal (RNA+ATAC) single-cell data by @MingboCheng@jansen_jitske with @rkramann@KuppeChristoph https://t.co/1fEjq2rO0i 1/7
The most grim plankton compilation video I've made. This should only be a beautiful world of microlife. Instead it's a microplastic-polluted, horror movie. Beauty and the beast. @zeiss_micro
I am extremely happy to assume a W3 position in Computational Genomics at RWTH Aachen Medical Faculty and particularly proud to lead a diverse team (🇧🇷 🇧🇬 🇨🇳 🇬🇳 🇩🇪 🇮🇷 🇮🇹 🇯🇵 🇲🇽 🇵🇹) in advancing computational biology and genomics to discover mechanisms and therapies for diseases.