Paul Lang (@PF_Lang) profile picture

Systems biologist using @JuliaLanguage to scale up #sysbio models.

Zurich
Joined September 2019
Photo by Paul Lang (@PF_Lang)Photo by Paul Lang (@PF_Lang)Photo by Paul Lang (@PF_Lang)Photo by Paul Lang (@PF_Lang)Photo by Paul Lang (@PF_Lang)Photo by Paul Lang (@PF_Lang)Photo by Paul Lang (@PF_Lang)
📢 We offer a #postdoc position on the topic "ENHANCING THE COMPUTATIONAL BIOLOGY OF MICROORGANISMS AND PLANTS WITH NEW METHODS OF ARTIFICIAL INTELLIGENCE AND SUPERCOMPUTING ” Part of @Momentum_CSIC ⏳30/08/2024 More information at momentum.csic.es/
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Join the next #JuliaLang #SysBio community call! 🗓️ April 23, 5pm UTC 🔗Link: forms.gle/XSWAV4VoBrnkz3K78 🎤 Speakers: Aayush Sabharwal: SymbolicIndexingInterface.jl Augustinas Sukys: Neural approximations of the chemical master eqn Emily Nieves: Bayesian chemical reaction NNs
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Paul Lang retweeted
🌟 Inviting early career researchers to showcase your mathematical model of a biological system at the BioModels' Model of the Year 2024 competition! Submit your exciting work, gain recognition, and win cash prize! Deadline: Feb 29, 2024. More info: ebi.ac.uk/biomodels/competit…
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"Reusable rule-based #CellCycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells" is out in @PLOSCompBiol ! 📜Manuscript: journals.plos.org/ploscompbi… ⚙️#SBML: github.com/paulflang/cell_cy… Thank you David Penas, @julio_r_banga, @dweindl and Bela Novak!
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We are having pizza and discuss Systems Biology in room 32-G451 from 6pm!! 🍕🧬💻 come join @PF_Lang , @ChrisRackauckas and me 👋 #juliacon #julialang @JuliaConOrg
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I am very excited that our preprint "Reusable rule-based cell cycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells" is now available on @biorxiv_sysbio . Many thanks to the co-authors David Penas, @julio_r_banga , @dweindl and Bela Novak.
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Our model builds on existing #CellCycle and #sysbio research and aims at improving the following aspects: - scope and detail of the modelled cell cycle reaction network - information content of the validation data - parameter estimation procedure - model reusability
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The work would not have been possible without @BioNetGen, immunofluorescence imaging data from @WStallaert and colleagues from the @purvislab, reCAT, #PEtab and saCeSS. Big shout to the developers of these tools and @jonrkarr, @johnsekar86 and @FS_Heldt for the inspiration.
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#sysbio tool developers and users! "Systems biology: community needs, plans, and visions" @JuliaConOrg! Brainstorm future developments and collaborate with top players in the field. #SciML #JuliaLang Apply now: forms.gle/icu9Fp1cNPPvCJsW7 More info: pretalx.com/juliacon2023/tal…
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Here we show how #julialang enables new biology nature.com/articles/s41592-0… Thanks to @Roesch_E @jgreener64 @adamlmaclean @nassarhuda @ChrisRackauckas Tim Holy, our eagle eyed reviewers & @rita_strack @naturemethods for superb support! I love a good mountaineering analogy 😎
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#AlphaCode—a new #AI system for developing computer code developed by @DeepMind—can achieve average human-level performance in solving programming contests. Learn more this week in Science: scim.ag/Nn
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Freaking out...
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#emed2022 @PF_Lang on building reusable mammalian cell cycle models using @bionetgen, #reCAT for reconstructing sim data, validation data from Stallaert et al biorxiv.org/content/10.1101/… and #PEtab @JanHasenauer for parameter optimization. Nice piece of work github.com/paulflang/cell_cy…
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Paul Lang retweeted
📢NEW COURSE Learn how to make COBRA methods scale to problem sizes that require the use of #hpc Miroslav Kratochvil from @uni_lu will explain COBREXA.jl, a toolkit for working with complex metabolic models REGISTER 👇 ow.ly/UzLx50L0E2s @EBItraining
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Parametric uncertainty causes uncertain model predictions. But how to estimate prediction uncertainties? Elba Raimúndez, @JanHasenauer, @julio_r_banga & I have spent a few years comparing the best methods-and here are the results: ieeexplore.ieee.org/document…
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Excited to present a rule-based #CellCycle model that explains location and dynamics of 16 observables at #ICSB2022 ! Check out the #SBML, @bionetgen and #PEtab model specifications on GitHub (bit.ly/3COdtEM). Feel free to improve/extend model or data with a PR. #sysbio
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For those interested in the experimental data, this is the publication. Big thank you to @WStallaert and colleagues from the @purvislab!👍 teapawt.net/WStallaert/status/1461…
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