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morillalab.bsky.social

@morillalab.bsky.social
21 followers 38 following 16 posts

🧬📐🧠 MLiMO — geometric & topological deep learning for biology. Cells have shape. Gene regulation has holes. Development has dynamics. We build biology-aware AI that sees all three.

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morillalab.bsky.social @morillalab.bsky.social · 11/09/2026
New on the BCB CSIC channel: Ian Morilla (IHSM-CSIC-UMA) presents GeoTop, TaelCore, CoMM-BIP and S2-PepAnalyst — four tools worth a look for anyone into computational biology and bioinformatics. 🧬 ▶️ youtu.be/JsUQx5fuOCY #Bioinformatics #CompBio #CSIC
youtu.be
Ian Morilla (IHSM-CSIC-UMA) presenta GeoTop, TaelCore, CoMM-BIP y S2-PepAnalyst
YouTube video by Conexión CSIC BCB
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morillalab.bsky.social @morillalab.bsky.social · 31/08/2026
Great few days at the Immuno-Informatics Summer School in Paris— talk + TDA workshop with a great group of immunologists and bioinformaticians at Necker. Thanks to the organisers for a fantastic program 🧠🔬 #ImmunoInformatics #TopologicalDataAnalysis
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morillalab.bsky.social @morillalab.bsky.social · 27/07/2026
📚 Excited to contribute to the BCB 2026 Summer School! Ian Morilla delivered a lecture on Topological Data Analysis for Multi-Omics Integration, exploring how AI and topology reveal hidden biological patterns across complex omics datasets. 🧬🔬 #BCB #CSIC #MultiOmics #AI #TDA
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morillalab.bsky.social @morillalab.bsky.social · 15/07/2026
x.com/IHSM_CSIC_UM...
x.com
IHSM La Mayora (@IHSM_CSIC_UMA) on X
@k_merchante Closing the XVIII edition of RBMP from Bilbao, our computational biologist Ian Morilla presented S2-PepAnalyst, a web tool for predicting plant small signalling peptides that has been rec...
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morillalab.bsky.social @morillalab.bsky.social · 12/06/2026
Huge congratulations to our brilliant PhD student, Kelly Vomo-Donfack! 🎓👏 Our new preprint introduces PolyCLIP‑T – a learning framework that finds non-coding & structural variants standard pipelines miss. 🔗 www.medrxiv.org/content/10.6... So proud of you, Kelly! #TopologicalDeepLearning #Genomics
medrxiv.org
Topological Deep Learning Identifies Polygenic Variant Clusters Across Familial Multimorbid Disorders
Whole-genome sequencing comprehensively captures coding, non-coding and structural variation in families with suspected inherited disorders, yet its clinical utility remains constrained by an interpre...
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Reposted by @morillalab.bsky.social
IHSM La Mayora UMA-CSIC @ihsmumacsic.bsky.social · 08/06/2026
📢IHSM La Mayora just got stronger in Machine Learning 🌿During an outreach session at LAGA, Institut Galilée (Paris), our researcher Ian Morilla set the groundwork for AI applied to plant models — a key capability now available for the next research phase of our institute 🧠🤖 @morillalab.bsky.social
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morillalab.bsky.social @morillalab.bsky.social · 06/06/2026
📢 Huge thanks to Dr. Verónica G. Doblas for this collaboration 🌱🤝 🧬 Foundational characterization of tomato fruit RALF peptides reveals structural and functional specialization within the SlRALF bioRxiv 👇 🔗 DOI: 10.64898/2026.06.05.730363v1 #MLiMO #PlantScience #IHSM #bioRxiv
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Reposted by @morillalab.bsky.social
veroglez.bsky.social @veroglez.bsky.social · 06/06/2026
First preprint in our journey characterizing the role of RALF peptides during tomato fruit development www.biorxiv.org/content/10.6...
biorxiv.org
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morillalab.bsky.social @morillalab.bsky.social · 03/06/2026
🚨 BIG NEWS! The MLiMO team will give a talk at the XVIII Plant Molecular Biology Meeting in Bilbao! 🇪🇸🧬 📍 July 1–3 🎤 We're presenting S2-PepAnalyst – our new webtool for predicting signalling peptides in plants. ML + plant science = 🚀 #PlantMolecularBiology #XVIII_PMBM #MLiMO #S2PepAnalyst
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morillalab.bsky.social @morillalab.bsky.social · 20/05/2026
🎉 Big welcome to Adryel Hoszu, who joins MLiMO as a PhD researcher! Adryel will work on Trascend-ID, focusing on topological deep learning in pathology — Thrilled to have you on board, Adryel!🚀 #MLiMO #TopologicalDeepLearning #PhD #TrascendID
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morillalab.bsky.social @morillalab.bsky.social · 20/05/2026
🎉 A welcome to Melissa Aberbache joining the MLiMO group as a technician working on the intersection between Artificial Intelligence and Molecular Plant research! Great to have you on board, Melissa! 🚀 #MLIMO #AI #MolecularPlant
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morillalab.bsky.social @morillalab.bsky.social · 20/05/2026
🎉 Two warm welcomes to the MLiMO group! 🔹 Ali Cantez – joins for M2 internship on topological deep learning in plant pathology 🔹 Amadou Diallo – M2 on geometric learning in CLL (chronic lymphocytic leukemia) Great to have you both on board! 🚀 #MLiMO #GeometricLearning #TopologicalDeepLearning
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morillalab.bsky.social @morillalab.bsky.social · 20/05/2026
🚀 Big news for the MLiMO community: GeoTop, one of the key modules of S2-pepanalyst, is now available as a Python package! 📦 pip install geotop www.piwheels.org/project/geot... Now, it's much simpler to use our webtool in clusters, APIs, and automated workflows. #MLIMO #GeoTop #Python #OpenScience
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morillalab.bsky.social @morillalab.bsky.social · 15/05/2026
conexionbcb.github.io/Summer_Schoo...
conexionbcb.github.io
Home · Escuela de Verano en Bioinformática Avanzada 2026
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morillalab.bsky.social @morillalab.bsky.social · 15/05/2026
immunology-immunopathology-institute.u-pariscite.fr/immuno-infor...
immunology-immunopathology-institute.u-pariscite.fr
Immuno-informatics Summer School Program : 24-26 August, 2026, Paris | Immunology-immunopathology-institute
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morillalab.bsky.social @morillalab.bsky.social · 15/05/2026
rdcu.be/fiT0Z
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morillalab.bsky.social @morillalab.bsky.social · 15/05/2026
S2‐PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides - Vomo‐Donfack - 2026 - Plant Biotechnology Journal - Wiley Online Library onlinelibrary.wiley.com/doi/10.1111/...
onlinelibrary.wiley.com
S2‐PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides
Small signalling peptides (SSPs) serve as crucial mediators of cell-to-cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent a...
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morillalab.bsky.social @morillalab.bsky.social · 15/05/2026
Checkout this article I found at PLOS: dx.plos.org/10.1371/jour...
dx.plos.org
Early identification of high-risk individuals for mortality after lung transplantation: A retrospective cohort study with topological feature engineering
Author summary Predicting which patients are at highest risk after a lung transplant is difficult because current tools only use information available before surgery and cannot adapt as a patient’s co...
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