Paul Lang
@PF_Lang
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Systems biologist using @JuliaLanguage to scale up #sysbio models.
Zurich
Joined September 2019
RT @julio_r_banga: 📢 .We offer a #postdoc position on the topic "ENHANCING THE COMPUTATIONAL BIOLOGY OF MICROORGANISMS AND PLANTS WITH NEW….
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Join the next #JuliaLang #SysBio community call!. 🗓️ April 23, 5pm UTC.🔗Link: 🎤 Speakers:.Aayush Sabharwal: SymbolicIndexingInterface.jl.Augustinas Sukys: Neural approximations of the chemical master eqn.Emily Nieves: Bayesian chemical reaction NNs.
docs.google.com
We are planning to hold regular systems biology community calls to strengthen the ecosystem of tools and facilitate communication between users and developers. If you want to stay informed, please...
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RT @biomodels: 🌟 Inviting early career researchers to showcase your mathematical model of a biological system at the BioModels' Model of th….
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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: ⚙️#SBML: Thank you David Penas, @julio_r_banga, @dweindl and Bela Novak!
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Join the Julia Systems Biology community calls!. 🗓️ December 13, 6 pm UTC.🔗 Call link: 🎤 Speakers:.- Torkel Loman: Integration of Catalyst.jl with #JuliaLang #sysbio packages. - @sPersson96 : Parameter estimation with PEtab.jl.
docs.google.com
We are planning to hold regular systems biology community calls to strengthen the ecosystem of tools and facilitate communication between users and developers. If you want to stay informed, please...
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RT @Roesch_E: We are having pizza and discuss Systems Biology in room 32-G451 from 6pm!! 🍕🧬💻 come join @PF_Lang , @ChrisRackauckas and me….
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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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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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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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RT @ChrisRackauckas: #sysbio tool developers and users! "Systems biology: community needs, plans, and visions" @JuliaConOrg! Brainstorm fu….
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RT @theosysbio: Here we show how #julialang enables new biology.Thanks to @Roesch_E @jgreener64 @adamlmaclean @nass….
nature.com
Nature Methods - This Perspective introduces biologists interested in computational approaches to the benefits of the Julia programming language for meeting current and future computational demands.
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RT @ScienceMagazine: #AlphaCode—a new #AI system for developing computer code developed by @DeepMind—can achieve average human-level perfor….
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RT @dagmarwaltemath: #emed2022 @PF_Lang on building reusable mammalian cell cycle models using @bionetgen, #reCAT for reconstructing sim da….
github.com
Contribute to paulflang/cell_cycle_petab development by creating an account on GitHub.
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RT @PerMedCoE: 📢NEW COURSE Learn how to make COBRA methods scale to problem sizes that require the use of #hpc. Miroslav Kratochvil from @….
permedcoe.eu
15 November 2022. This course introduces COBREXA.jl, a toolkit for working with large constraint-based metabolic models
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RT @AlexFVillaverde: Parametric uncertainty causes uncertain model predictions. But how to estimate prediction uncertainties? Elba Raimúnde….
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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!👍.
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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 (. Feel free to improve/extend model or data with a PR. #sysbio
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