CSB, ETHZ @CSB_ETHZ
Computational Systems Biology, CSB group at Department of Biosystems Science and Engineering, ETH Zürich, led by Jörg Stelling csb.ethz.ch Basel Joined April 2020-
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Come join us in Lausanne, June 23–27, for a week of science, lively discussions, and a stunning lake view! Whether you're studying evolution in nature or designing it in the lab, our ETH-EPFL Summer School offers talks, workshops, and time to connect with fellow PhD students.
Congratulations to Asli Azizoglu from the Computational Systems Biology group @CSB_ETHZ on receiving the SNF Spark grant for developing a technology platform that identifies drugs that target specific cell-surface receptors. Master projects available! > u.ethz.ch/Ds4YV
Check out the three open positions for Assistant Professors TT at our department in Basel > bsse.ethz.ch/department/ope… Please share! @ETH_en #Biomedicine #Biodata #Genomics #Bioengineering #jobopportunity
A new collaboration between @ETH_en and @Roche trains doctoral students and postdocs in bio-engineered #TranslationalMedicine in Basel. The call for applicants for the doctoral programme is open now > next-gen-bioengineers.ethz.ch. Please RT!
How evolution in genotype networks drives biological function | In a study @NatureComms, researchers around Joerg Stelling @CSB_ETHZ and Yolanda Schaerli, @YSchaerli @unil, reveal new insights of gene regulatory networks >u.ethz.ch/HBjVt @ETasiudi @santosmoreno_j
Join our faculty: Open position at @ETH_BSSE in Basel > Assistant Professor (Tenure Track) of Data Science for Bioengineering and Biomedicine | ETH Zurich Please RT! ethz.ch/en/the-eth-zur…
We are very happy to share that we have a new paper out in @JCellBiol! tinyurl.com/2z6btsrj In it, we show that the kinesin Kip2, in collaboration with the CLIP-170 orthologue Bik1, moonlights as a microtubule polymerase.
Functional comparison of metabolic networks across species @charlotte_ramon & J. Stelling @CSB_ETHZ use sensitivity correlations to quantify similarity of predicted metabolic network responses to perturbations, linking genotype & environment to phenotype nature.com/articles/s4146…
Our study on synthetic genotype networks (sets of gene regulatory networks connected by small mutational changes) is now published! Congratulations to all co-authors! @santosmoreno_j @ETasiudi @hadiastri_k @CSB_ETHZ @DMF_UNIL. nature.com/articles/s4146…
(1/9) Happy to present our new preprint @CSB_ETHZ! doi.org/10.1101/2023.0… Kinetic parameter values have been measured for only a fraction of known enzymes. Machine/deep learning can predict missing values, but what is the uncertainty of measured and predicted values?
Are you looking for a precisely #adjustable, variation-suppressed transcriptional #controller? Have a look at our protocol where we show how to achieve controlled, graded #gene expression in S. cerevisiae.
Are you looking for a precisely #adjustable, variation-suppressed transcriptional #controller? Have a look at our protocol where we show how to achieve controlled, graded #gene expression in S. cerevisiae.
Happy to share our latest work in which we use #cellular and #computational models to investigate the rare inherited #metabolic disorder methylmalonic aciduria. Work done by @charlotte_ramon in collaboration with @FroeseLab. doi.org/10.1002/jimd.1…
Open position at D-BSSE in Basel: ethz.ch/en/the-eth-zur…
A new method developed by the Computational Systems Biology group of #JoergStelling @CSB_ETHZ introduces the cell region fingerprint tracker based on key parameters drawn from #microscopy images > bit.ly/3SBl925 @naturemethods #singlecell #livecell #imaging
And read the News & Views from @CiminiLab highlighting this work here: nature.com/articles/s4159…
Our software TracX has been published! With TracX you can highly precise track #singlecells and reconstruct their #lineage. Importantly, our software does not require any extensive parameter tuning and works for bacteria, yeast and mammalian cells!
Our software TracX has been published! With TracX you can highly precise track #singlecells and reconstruct their #lineage. Importantly, our software does not require any extensive parameter tuning and works for bacteria, yeast and mammalian cells!
Very happy to share our latest preprint “Synthetic genotype networks”. Great work by @santosmoreno_j, @ETasiudi and @hadiastri_k in a fun collaboration with @CSB_ETHZ. biorxiv.org/content/10.110…
Check this new position out at our department > bsse.ethz.ch/department/ope… @ETH_BSSE in Basel is such a great place to work! Please RT
Delighted to share the work from our postdoc Andreas, a fruitful collaboration with @MullerForce , @David_MM_82 and @UniBasel_en, on monitoring #mass and cell cycle phases of single yeast cells using an advanced picobalance doi.org/10.1038/s41467…
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