JA
Jordi Abante Llenas
Also known as: Jordi Abante
Universitat de Barcelona, Stanford University, Johns Hopkins University, Johns Hopkins University Whiting School of Engineering, Texas A&M University
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Genomics and Phylogenetic Studies · Genomics and Chromatin Dynamics · Epigenetics and DNA Methylation
0000-0003-4137-2858
Employment
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Universitat de Barcelona Assistant Professor (RyC)2025 - Present
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Universitat de Barcelona Junior Leader2024 - 2025
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Universitat de Barcelona Lecturer2023 - 2024
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Universitat de Barcelona Postdoctoral Researcher2023 - 2024
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Stanford University Postdoctoral Research Fellow2021 - 2022
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Johns Hopkins University Course Assistant2021 - 2021
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Johns Hopkins University Course Assistant2020 - 2020
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Johns Hopkins University Course Assistant2019 - 2019
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Johns Hopkins University Research Assistant2017 - 2021
Education
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Johns Hopkins University Master of Science2018 - 2019
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Johns Hopkins University Whiting School of Engineering Ph.D.2016 - 2021
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Texas A&M University Master of Science2014 - 2016
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Universitat Politècnica de Catalunya Bachelor of Science2008 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- Multi-ancestry admixture mapping reveals ancestry-associated disease loci in the UK Biobank Save
- ARGformer: learning on ancestral recombination graphs with transformers Save
- ARGformer: learning on ancestral recombination graphs with transformers Save
- Corrigendum to “CD200-based cell sorting results in homogeneous transplantable striatal neuroblasts for human cell therapy for Huntington's disease” Neurobiology of disease 209 (2025) 106905 Save
- snputils: A High-Performance Python Library for Genetic Variation and Population Structure Save
- Context-Dependent Genetic Modifiers of Huntington's Disease Revealed through Multimodal Machine Learning Save
- CD200-based cell sorting results in homogeneous transplantable striatal neuroblasts for human cell therapy for Huntington's disease Save
- Context-Dependent Genetic Modifiers of Huntington’Disease Revealed through Multimodal Machine Learning Save
- Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data Save
- INTEGRATION OF CALCIUM IMAGING TRACES VIA DEEP GENERATIVE MODELING Save
- Leveraging protein-protein interactions in phenotype prediction through graph neural networks Save
- Expansion of the neocortex and protection from neurodegeneration by in vivo transient reprogramming Save
- Leveraging protein-protein interactions in phenotype prediction through graph neural networks Save
- Assessing Tree-Based Phenotype Prediction on the UK Biobank Save
- DIVE: a reference-free statistical approach to diversity-generating and mobile genetic element discovery Save
- DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence Save
- DIVE: a reference-free statistical approach to diversity-generating & mobile genetic element discovery Save
- DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence Save
- Estimating DNA methylation potential energy landscapes from nanopore sequencing data Save
- Converging genetic and epigenetic drivers of paediatric acute lymphoblastic leukaemia identified by an information-theoretic analysis Save