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Victoria Stuart 🇨🇦 🏳️‍⚧️<p>Virtual cells<br><a href="https://udara.io/science/virtual-cells" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">udara.io/science/virtual-cells</span><span class="invisible"></span></a><br><a href="https://news.ycombinator.com/item?id=44295725" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.ycombinator.com/item?id=4</span><span class="invisible">4295725</span></a></p><p>Friggin' cool ! A synthetic cell phage cycle 👍️ | bioRxiv<br><a href="https://mastodon.social/@persagen/114697081002977107" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.social/@persagen/1146</span><span class="invisible">97081002977107</span></a></p><p><a href="https://mastodon.social/tags/SyntheticBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SyntheticBiology</span></a> <a href="https://mastodon.social/tags/VirtualCells" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VirtualCells</span></a> <a href="https://mastodon.social/tags/DigitalTwins" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalTwins</span></a> <a href="https://mastodon.social/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://mastodon.social/tags/virology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>virology</span></a></p>
CSBJ<p>🔎 How can AI-powered tools help scientists uncover hidden connections in disease research?</p><p>🔗 Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations. Computational and Structural Biotechnology Journal, DOI: <a href="https://doi.org/10.1016/j.csbj.2025.06.025" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.csbj.2025.06</span><span class="invisible">.025</span></a></p><p>📚 CSBJ: <a href="https://www.csbj.org/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">csbj.org/</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/AIinScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIinScience</span></a> <a href="https://mastodon.social/tags/BiomedicalTextMining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BiomedicalTextMining</span></a> <a href="https://mastodon.social/tags/Genomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Genomics</span></a> <a href="https://mastodon.social/tags/PrecisionMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PrecisionMedicine</span></a> <a href="https://mastodon.social/tags/Bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bioinformatics</span></a> <a href="https://mastodon.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a> <a href="https://mastodon.social/tags/BiomedicalResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BiomedicalResearch</span></a> <a href="https://mastodon.social/tags/BiomedicalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BiomedicalAI</span></a> <a href="https://mastodon.social/tags/LiteratureMining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LiteratureMining</span></a> <a href="https://mastodon.social/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://mastodon.social/tags/Omics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Omics</span></a> <a href="https://mastodon.social/tags/KnowledgeDiscovery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KnowledgeDiscovery</span></a></p>
Jan Taubenheim<p>Our (<span class="h-card" translate="no"><a href="https://mstdn.science/@kaletalab" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>kaletalab</span></a></span>) new study uncovers multi-level metabolic disruptions in <a href="https://mstdn.science/tags/IBD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IBD</span></a> involving reduced <a href="https://mstdn.science/tags/HostMicrobiomeInteractions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HostMicrobiomeInteractions</span></a>.</p><p>Elevated tryptophan catabolism → NAD biosynthesis impaired.</p><p>Disrupted nitrogen homeostasis affects polyamine/glutathione metabolism.</p><p>Suppressed C1 cycle alters NAD/phospholipid profiles.</p><p><a href="https://mstdn.science/tags/MetabolicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MetabolicModeling</span></a> predicts dietary interventions to restore <a href="https://mstdn.science/tags/Microbiome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microbiome</span></a> balance. </p><p>Read and share: <a href="https://rdcu.be/eo7B3" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">rdcu.be/eo7B3</span><span class="invisible"></span></a><br><a href="https://mstdn.science/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://mstdn.science/tags/Microbiome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microbiome</span></a> <a href="https://mstdn.science/tags/MultiOmics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultiOmics</span></a> <a href="https://mstdn.science/tags/CAU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CAU</span></a> <a href="https://mstdn.science/tags/UKSH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UKSH</span></a> <a href="https://mstdn.science/tags/Kiel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kiel</span></a>&nbsp;</p>
Samuel<p>Lets talk <a href="https://chaos.social/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> for a change. We submitted a pre-print of the software I'm working on for my PhD thesis! Beautifully named manvr3d (aka, Manfred), we combine conventional <a href="https://chaos.social/tags/CellTracking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CellTracking</span></a> software with <a href="https://chaos.social/tags/VirtualReality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VirtualReality</span></a> and a deep learning model to create a super fast human-in-the-loop system for tracking cells in 3D through time.</p><p><a href="https://arxiv.org/abs/2505.03440" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2505.03440</span><span class="invisible"></span></a></p><p><a href="https://chaos.social/tags/Paper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Paper</span></a> <a href="https://chaos.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerScience</span></a> <a href="https://chaos.social/tags/Biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biology</span></a> <a href="https://chaos.social/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> </p><p>1/5</p>
Julio R. Banga<p>🚨 New paper out!</p><p>Novel algorithms for uncertainty quantification in systems biology using conformal inference. <br>Joint work with Alberto Portela and Marcos Matabuena.</p><p>📄 Read more: <a href="https://doi.org/10.1371/journal.pcbi.1013098" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1371/journal.pcbi.1</span><span class="invisible">013098</span></a><br> <a href="https://mstdn.science/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://mstdn.science/tags/UQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UQ</span></a></p>
Laurent Gatto<p>Computational <a href="https://fediscience.org/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> of <a href="https://fediscience.org/tags/Cancer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cancer</span></a> course 22 - 26 September 2025 in Paris.</p><p>The goal of the course is to promote computational approaches in biological and clinical laboratories. We aim to help participants understand and utilise multimodal integration approaches to effectively leverage the various types of data accumulating in most biological or medical labs.</p><p>More details: <a href="https://training.institut-curie.org/courses/csbc2025" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">training.institut-curie.org/co</span><span class="invisible">urses/csbc2025</span></a></p>
COPASI<p>A new COPASI version 4.45 was released. </p><p>New features:<br>- tool to parse arbitrary ODEs into reaction-based model.<br>- menu entry allowing definition and running of external tools (scripts ,etc)</p><p>Many bug fixes, including:<br>- better scaling for MCA in the presence of small compartment volumes<br>- fixed intervals for time courses running backwards (negative time)<br>- improvement in steady state criteria in models with conserved moieties<br>- Improved parsing SED-ML &amp; SBML</p><p><a href="https://copasi.org/Download/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">copasi.org/Download/</span><span class="invisible"></span></a><br><a href="https://fediscience.org/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://fediscience.org/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a> <a href="https://fediscience.org/tags/Simulation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Simulation</span></a> <a href="https://fediscience.org/tags/Dynamics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Dynamics</span></a></p>
COPASI<p>Hello Mastodon!</p><p><a href="https://fediscience.org/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> </p><p>This is the official account for COPASI, the popular open source software for modeling and simulation of biochemical reaction networks</p><p><a href="https://fediscience.org/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a><br><a href="https://fediscience.org/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a><br><a href="https://fediscience.org/tags/Kinetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kinetics</span></a><br><a href="https://fediscience.org/tags/ChemicalKinetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChemicalKinetics</span></a><br><a href="https://fediscience.org/tags/ReactionNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReactionNetworks</span></a><br><a href="https://fediscience.org/tags/Dynamics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Dynamics</span></a> <br><a href="https://fediscience.org/tags/ComputationalModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalModels</span></a></p>
António Domingues<p>Mastodon hivemind, does anyone know of a good example/dataset with Design of Experiments (<a href="https://genomic.social/tags/DOE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DOE</span></a>) for systems /experimental biology? </p><p>I want to get into DoE but most examples I see come from chemistry and I would prefer examples closer to my domain expertise :)</p><p><a href="https://genomic.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://genomic.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://genomic.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://genomic.social/tags/systemsbiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>systemsbiology</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>New, Chemical View of Ecosystems<br><a href="https://www.quantamagazine.org/a-new-chemical-view-of-ecosystems-20250305" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">quantamagazine.org/a-new-chemi</span><span class="invisible">cal-view-of-ecosystems-20250305</span></a></p><p>Rare and powerful compounds, known as keystone molecules, can build a web of invisible interactions among species. </p><p><a href="https://mastodon.social/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://mastodon.social/tags/ecology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ecology</span></a> <a href="https://mastodon.social/tags/cybernetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cybernetics</span></a> <a href="https://mastodon.social/tags/keystoneSpecies" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>keystoneSpecies</span></a> <a href="https://mastodon.social/tags/KeystoneMolecules" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KeystoneMolecules</span></a> <a href="https://mastodon.social/tags/biosignaling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biosignaling</span></a> <a href="https://mastodon.social/tags/biocommunication" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biocommunication</span></a></p>
Andrew Millar<p>3/8 🧬📊 For the first time (or do update us), we've modelled dynamic, plant gene circuits with absolute units for both RNA and protein copies per cell. </p><p>You can compare our mathematical models directly to your biochemical data. Over time, both approaches should benefit! <a href="https://fediscience.org/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a></p><p>4/8 🤖🧪 Those absolute units mean that we can predict the DNA-binding dissociation constants (Kd) of our clock transcription factors in vivo, for example. </p><p>After some tricky calibration, we estimated comparable Kd values in vitro from our earlier data and the literature, extending the method to any promoter sequence (more on this later). </p><p>So, did they match? </p><p><a href="https://fediscience.org/tags/Bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bioinformatics</span></a> <a href="https://fediscience.org/tags/GeneExpression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GeneExpression</span></a></p>
JuliaR<p>👋 Hi all <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> enthusiasts!<br>I'm looking for someone who has time now to conduct a review of a piece of software for Journal of Open Source Software (JOSS). Details are here:<br><a href="https://github.com/openjournals/joss-reviews/issues/7491" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/openjournals/joss-r</span><span class="invisible">eviews/issues/7491</span></a> <br>The review process is quite simple - you get a checklist and you run some tests. It's all open, on GitHub.</p><p><a href="https://fosstodon.org/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>programming</span></a> <a href="https://fosstodon.org/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://fosstodon.org/tags/PeerReview" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PeerReview</span></a> <a href="https://fosstodon.org/tags/JOSS_TheOJ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JOSS_TheOJ</span></a> <a href="https://fosstodon.org/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://fosstodon.org/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://fosstodon.org/tags/Bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bioinformatics</span></a></p>
ma𝕏pool<p>A synthetic protein-level neural network in mammalian cells<br><a href="https://www.science.org/doi/10.1126/science.add8468" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">science.org/doi/10.1126/scienc</span><span class="invisible">e.add8468</span></a></p><p>Bringing neural networks to life<br>A synthetic protein-based winner-take-all neural network controls cell fate decisions<br><a href="https://www.science.org/doi/10.1126/science.adu1327" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">science.org/doi/10.1126/scienc</span><span class="invisible">e.adu1327</span></a></p><p>Chen et al. describe a protein-level synthetic circuit framework that implements a “winner-take-all” neural network capable of classifying the relative abundance of multiple inputs to modify the circuit output. This network replicates various classification circuits by adjusting the relative concentrations of a few components. By connecting this circuit to molecular pathways that regulate apoptosis, the authors demonstrate the promise of this approach for programming cell fate outcomes. This could be extended to design complex neural circuits that augment the computational capacity of cells.</p><p>perceptein: a combination of protein and perceptron. </p><p>biorxiv:<br><a href="https://www.biorxiv.org/content/10.1101/2022.07.10.499405v1.full.pdf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.07.10.499405v1.full.pdf</span></a></p><p><a href="https://phys.org/news/2024-12-perceptein-protein-based-artificial-neural.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">phys.org/news/2024-12-percepte</span><span class="invisible">in-protein-based-artificial-neural.html</span></a></p><p><a href="https://mathstodon.xyz/tags/neuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralNetworks</span></a> <a href="https://mathstodon.xyz/tags/biochem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biochem</span></a> <a href="https://mathstodon.xyz/tags/systemsbiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>systemsbiology</span></a> <a href="https://mathstodon.xyz/tags/proteins" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>proteins</span></a> <a href="https://mathstodon.xyz/tags/cellbiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cellbiology</span></a> <br><a href="https://mathstodon.xyz/tags/bioengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioengineering</span></a> <a href="https://mathstodon.xyz/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a></p>
BiGCaT Bioinformatics<p><a href="https://social.edu.nl/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> </p><p>This account is for the bioinformatics team at FHML, Maastricht University. You can find some of them on Mastodon:</p><p>- Susan Coort: <span class="h-card" translate="no"><a href="https://akademienl.social/@susancoort" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>susancoort</span></a></span><br>- Marvin Martens: <span class="h-card" translate="no"><a href="https://social.edu.nl/@Marvin" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Marvin</span></a></span> <br>- Egon Willighagen: <span class="h-card" translate="no"><a href="https://social.edu.nl/@egonw" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>egonw</span></a></span> </p><p>But also some of the projects we have been involved in:</p><p>- BridgeDb: <span class="h-card" translate="no"><a href="https://fosstodon.org/@bridgedb" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>bridgedb</span></a></span> <br>- WikiPathways: <span class="h-card" translate="no"><a href="https://fosstodon.org/@wikipathways" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>wikipathways</span></a></span> <br>- ELIXIR Europe: <span class="h-card" translate="no"><a href="https://mstdn.science/@elixir_europe" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>elixir_europe</span></a></span></p><p><a href="https://social.edu.nl/tags/biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biology</span></a> <a href="https://social.edu.nl/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> <a href="https://social.edu.nl/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a></p>
BiGCaT Bioinformatics<p>new paper: "Making PBPK models more reproducible in practice" <a href="https://doi.org/10.1093/bib/bbae569" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1093/bib/bbae569</span><span class="invisible"></span></a></p><p>"We make a proposal aiming to harmonize abbreviations used in PBPK models.<br>To illustrate these recommendations, we present an original and reproducible PBPK model code in MATLAB, alongside an example of<br>MATLAB code converted to Systems Biology Markup Language format using MOCCASIN."</p><p><a href="https://social.edu.nl/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> <a href="https://social.edu.nl/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> <a href="https://social.edu.nl/tags/matlab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matlab</span></a> <a href="https://social.edu.nl/tags/SBML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SBML</span></a> <a href="https://social.edu.nl/tags/VHP4Safety" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VHP4Safety</span></a></p>
David Basanta Gutierrez<p>In San Francisco for the <a href="https://fediscience.org/tags/NCI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NCI</span></a> <a href="https://fediscience.org/tags/CSBC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CSBC</span></a> meeting to hear more about <a href="https://fediscience.org/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> in <a href="https://fediscience.org/tags/CancerResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CancerResearch</span></a>. This afternoon's presentation was by our fearless leader <span class="h-card" translate="no"><a href="https://fediscience.org/@sandy" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>sandy</span></a></span> talking about delta ecology in cancer with immune and stromal cells</p>
Jason H. Moore, Ph.D.<p>Molecular causality in the advent of foundation models <a href="https://www.embopress.org/doi/full/10.1038/s44320-024-00041-w" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">embopress.org/doi/full/10.1038</span><span class="invisible">/s44320-024-00041-w</span></a> <a href="https://mastodon.online/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.online/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> <a href="https://mastodon.online/tags/systemsbiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>systemsbiology</span></a> <a href="https://mastodon.online/tags/causality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causality</span></a></p>
BiGCaT Bioinformatics<p>open PhD vacancy with Dr Friederike Ehrhart:</p><p>"Rare Epilepsies disease networks"</p><p>"Within this collaborative project, we are looking for a PhD candidate with either a background in bioinformatics, data sciences, systems biology with a demonstratable experience in biomedical or life sciences, or a background in life sciences/biomedical sciences with a demonstratable experience in data analysis, <a href="https://social.edu.nl/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> or <a href="https://social.edu.nl/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsBiology</span></a> "</p><p>More information: <a href="https://vacancies.maastrichtuniversity.nl/job/Maastricht-PhD-Candidate-Rare-Epilepsies-disease-networks/799514102/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">vacancies.maastrichtuniversity</span><span class="invisible">.nl/job/Maastricht-PhD-Candidate-Rare-Epilepsies-disease-networks/799514102/</span></a></p>
BiGCaT Bioinformatics<p>Several group members will join the <a href="https://social.edu.nl/tags/BioSB2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BioSB2024</span></a> meeting next week with talks, posters, and demos.</p><p>BioSB is the Dutch meeting around <a href="https://social.edu.nl/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> and <a href="https://social.edu.nl/tags/systemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>systemsBiology</span></a> More info at <a href="https://www.aanmelder.nl/biosb2024/welcometobiosb2024" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">aanmelder.nl/biosb2024/welcome</span><span class="invisible">tobiosb2024</span></a></p>
Egon Willighagen<p>looking forward to <a href="https://social.edu.nl/tags/BioSB2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BioSB2024</span></a> next week</p><p>BioSB is the Dutch national meeting around <a href="https://social.edu.nl/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> and <a href="https://social.edu.nl/tags/systemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>systemsBiology</span></a></p>