Fabrizio Angaroni
@Anga_F
ph'nglui mglw'nafh Cthulhu R'lyeh wgah'nagl fhtagn. Theoretical physicist, Post-doc in computational biology at @humantechnopole
🔬 New open-source tool! #Kinbiont automates the analysis of microbial growth and helps scientists uncover how bacteria respond to their environment. 🧠 Developed by our @fepinheiromycin Group, now published in @NatureComms. humantechnopole.it/en/news/automa…
Incredibly proud of my former lab member @Anga_F and his work with @fepinheiromycin's team on this great new paper, out now in Nature Communications! The #compbio community working on #bacteria should give it a read!
Finally out! 🎉 Our first work at @humantechnopole is published in @NatureComms: "Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont" 📄 nature.com/articles/s4146…
From our lab to yours! 🤓✨ Kinbiont combines dynamical models with explainable machine learning to streamline data analysis and support theoretical formulation in microbiology Out now in @NatureComms: nature.com/articles/s4146… with @Anga_F, @UltimoPer, Edgar, @humantechnopole
Finally out! 🎉 Our first work at @humantechnopole is published in @NatureComms: "Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont" 📄 nature.com/articles/s4146…
Less is more? Our new RESOLVE framework fits cancer mutational profiles with fewer #MutationalSignatures than those included in catalogues (eg @cosmic_sanger), revealing that a few key processes drive most cancers, whereas rare ones play a minor role Out now in @NAR_Open!
Meet RESOLVE, our new method for mutational signature analysis just published in Nucleic Acids Research! Applied to 20,000 adult and pediatric cancers, it reveals key links to driver mutations and clinical outcomes. 🔗 doi.org/10.1093/nar/gk… #CancerGenomics #MutationalSignatures
Meet RESOLVE, our new method for mutational signature analysis just published in Nucleic Acids Research! Applied to 20,000 adult and pediatric cancers, it reveals key links to driver mutations and clinical outcomes. 🔗 doi.org/10.1093/nar/gk… #CancerGenomics #MutationalSignatures
How does the mission of JuliaHub and the new Dyad modeling language interact with the #julialang open source (#OSS) community? juliahub.com/blog/the-strat…
I am currently ~19h 19m 05s of light travel time from Earth, or 20,849,000,000 km / 12,955,000,000 mi / 139.367 AU (2025:110:000000:2L)
#ISMBECCB2025 Proceedings Track submission notifications have been sent out today! A HUGE thanks to all ~400 reviewers, 23 area chairs and to Co-Chair Tijana Milenkovic @ProfMilenkovic for this fantastic joint effort and team work! Looking forward to the conference! @iscb
Glad to have helped as Area Chair for #biomedical #informatica with Niko Beerenwinkel and Jenna Wiens - see you at #ISMBECCB2025 for an amazing conference!
#ISMBECCB2025 Proceedings Track submission notifications have been sent out today! A HUGE thanks to all ~400 reviewers, 23 area chairs and to Co-Chair Tijana Milenkovic @ProfMilenkovic for this fantastic joint effort and team work! Looking forward to the conference! @iscb
Glad to share our newest framework spFBA allows one to estimate the fluxes of metabolic reactions from any spatial transcriptomics dataset In CRC samples metastases mimic the metabolism of the tissue of origin! Great work led by @ChiaraDamiani_ @unimib biorxiv.org/content/10.110…
Postdoc opportunity (18 mos) Join our team to develop pipelines for single-cell seq data in an @AIRC_it funded project! Looking for bioinformaticians and data scientists passionate about cutting-edge research (and fun too!) Apply by Dec 3rd: unimib.it/ateneo/gare-e-… please RT!
Very happy to share the first of many stories we've been working on here at @humantechnopole
#ISMBECCB2025 Proceedings Track submission notifications have been sent out today! A HUGE thanks to all ~400 reviewers, 23 area chairs and to Co-Chair Tijana Milenkovic @ProfMilenkovic for this fantastic joint effort and team work! Looking forward to the conference! @iscb
🚨 Postdoc or PhD opportunity! 🕸️ Protein-protein interaction networks face challenges like high error rates and biased degree of certain proteins. Help us improve their quality and develop computational methods to better interpret them! More info: schaeferlab.org/misc/join/"