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CBG, ETH Zurich

@cbg.ethz.ch
51 followers 4 following 8 posts

Computational Biology Group in D-BSSE, @ethzurich.bsky.social, led by Niko Beerenwinkel. bsse.ethz.ch/cbg

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CBG, ETH Zurich @cbg.ethz.ch · 16/06/2026
SCITE-RNA is our new method for phylogenetic tree inference from single-cell RNA sequencing data allowing us to link phylogenies and gene expression profiles. By alternating between cell lineage and mutation tree representations, it can escape local optima and learn trees fast: rdcu.be/fot5N.
rdcu.be
Phylogenetic tree inference from single-cell RNA sequencing data with SCITE-RNA
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CBG, ETH Zurich @cbg.ethz.ch · 16/06/2026
We are excited to share that our paper on wastewater-based sequencing of respiratory syncytial virus, showing the potential to identify and track circulating lineages, is now published in The Lancet Microbe. You can check it out at: www.sciencedirect.com/science/arti...
sciencedirect.com
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CBG, ETH Zurich @cbg.ethz.ch · 13/05/2026
Congratulations to Xiang Ge Luo for being awarded the ETH Medal 2025 for her doctoral thesis “Modeling tumor mutation trees for evolution-guided precision oncology”! bsse.ethz.ch/news-and-eve...
bsse.ethz.ch
ETH Medal for excellent research: tumour heterogeneity | infectious disease surveillance
Xiang Ge Luo who used single-cell sequencing data to study tumour’s evolutionary trajectory from diagnosis during her doctorate in the Beerenwinkel group, and Adrian Lison from the Stadler lab who mon...
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CBG, ETH Zurich @cbg.ethz.ch · 05/02/2026
Proud to be part of this exciting initiative bsse.ethz.ch/news-and-eve...
bsse.ethz.ch
Fellowship programmes: Doctoral and postdoc projects in AI research and clinical practice
The ETH AI Center and Bosch Health Campus deepen their partnership to translate AI research into clinical impacts and inform about their joint fellowship programmes.
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Reposted by CBG, ETH Zurich
European Conference on Computational Biology @eccb-europe.bsky.social · 09/12/2025
📢 ECCB2026 - Call for proceedings now open ! The Scientific Committee welcomes full manuscripts presenting original and unpublished work in computational biology. 🗓 Deadline: 5 March 2026, 1 p.m. CET 🔗 eccb2026.org/call-proceedings #ECCB2026 #Bioinformatics #ComputationalBiology #CallForPapers
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Reposted by CBG, ETH Zurich
D-BSSE, ETH Zurich @handle.invalid · 23/09/2025
Minimising biases in #viralsurveillance data from #wastewater: A study led by the groups of Niko Beerenwinkel and Tanja Stadler @ethz.ch as well as their collaborators at @eawag.bsky.social developed a mathematical tool to factor in 'shedding' >https://u.ethz.ch/zUQBP
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CBG, ETH Zurich @cbg.ethz.ch · 23/09/2025
We’re happy to announce our study on tracing influenza A from wastewater has been published in Water Research. We developed a novel tiling amplicon approach, enabling deep genomic coverage and our method is now part of Swiss-wide wastewater surveillance efforts. www.sciencedirect.com/science/arti...
sciencedirect.com
Characterizing influenza A virus lineages and clinically relevant mutations through high-coverage wastewater sequencing
Influenza A virus poses significant public health challenges, causing seasonal outbreaks and pandemics. Its rapid evolution motivates continuous monit…
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CBG, ETH Zurich @cbg.ethz.ch · 14/08/2025
www.nature.com/articles/s41... In our new study, we use mathematical modelling, simulations, and Swiss wastewater data to show that that key epidemiological metrics are not biased by differences in virus shedding. This highlights the robustness of wastewater monitoring for pathogen surveillance.
nature.com
Estimated transmission dynamics of SARS-CoV-2 variants from wastewater are unbiased and robust to differential shedding - Nature Communications
Epidemiological estimates from wastewater are not biased by testing rates but may be subject to other biases. Here, the authors investigate the impact of variable virus shedding profiles for different...
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CBG, ETH Zurich @cbg.ethz.ch · 25/07/2025
Congratulations to Xiang Ge Luo for the Outstanding Student Paper award at ISMB/ECCB 2025 in Liverpool (www.iscb.org/ismbeccb2025...) for her work on the Bayesian inference of fitness landscapes via tree-structured branching processes published in Bioinformatics at doi.org/10.1093/bioi...
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CBG, ETH Zurich @cbg.ethz.ch · 02/06/2025
We are excited to share our latest research published in Nature Genetics, where we could detect genetic heterogeneity within circulating tumor cell clusters that can seed metastases. To do so, we tailor-made a new phylogenetic algorithm "CTC-SCITE": www.nature.com/articles/s41...
nature.com
Phylogenetic inference reveals clonal heterogeneity in circulating tumor cell clusters - Nature Genetics
Phylogenetic analyses in patients with cancer and xenograft models highlight heterogeneity within individual CTC clusters, providing insights into clonal dynamics during metastasis.
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