Jordi Abante
Ramón y Cajal Fellow at the Dept. of Biomedical Sciences and UBNeuro (School of Medicine, UB)
-
jordi.abante@ub.edu
-
GitHub
-
LinkedIn
-
Twitter
-
Research Gate
-
Google Scholar
Profile summary
In 2014, Jordi Abante Llenas received his BS in Industrial Engineering (specializing in power electronics and signals) from the Universitat Politècnica de Catalunya in Barcelona. He then obtained an MS from the Department of Electrical & Computer Engineering at Texas A&M University, where he joined the Center for Bioinformatics and Genomic Systems Engineering (Datta lab) and contributed to several computational genomics research projects. In 2015, he was awarded the “la Caixa” fellowship to pursue a PhD in computational genomics at Johns Hopkins University, where he developed computational methods to study epigenetic signatures as a member of the Goutsias lab, in close collaboration with the Feinberg lab at the School of Medicine. In parallel with his PhD research, he earned an MS in Applied Mathematics & Statistics in 2018, focusing on statistical learning. After defending his dissertation entitled “Statistical Signal Processing Methods for Epigenetic Landscape Analysis” in May 2021, he joined the Biomedical Data Science Department at Stanford University (Salzman & Ioannidis lab) as a Postdoctoral Research Fellow, supported by the Stanford Center for Computational, Evolutionary and Human Genomics postdoctoral fellowship. In January 2023, he became a Postdoctoral Researcher at the Department of Biomedical Sciences (Canals lab) and the Department of Mathematics and Computer Science (Radeva lab) at the Universitat de Barcelona, where he began developing methods for multimodal single-cell data analysis to study brain development and alterations in Huntington’s disease. In September 2023, he was appointed Lecturer at the Department of Mathematics and Computer Science at UB. In September 2024, he started his “la Caixa” Junior Leader Fellowship in the Department of Biomedical Sciences, where he is currently establishing his research group as a Ramón y Cajal Fellow since September 2025.
Latest publications
Jordi Abante has 19 publications on Google Scholar.
Access Jordi Abante Google Scholar Profile
DIVE: a reference-free statistical approach to diversity-generating and mobile genetic element discovery
2023 | Jordi Abante, Peter L Wang, Julia Salzman | Genome Biology 24 (1), 240, 2023
DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence
2023 | Yuqi Fang, Zhicheng Ji, Weiqiang Zhou, Jordi Abante, Michael A Koldobskiy, Hongkai Ji, Andrew P Feinberg | Nucleic Acids Research, 2023
Assessing Tree-Based Phenotype Prediction on the UK Biobank
2023 | Alex Meléndez, Cayetana López, David Bonet, Gerard Sant, Daniel Mas Montserrat, Jordi Abante, Manuel Rivas, Ferran Marqués, Alexander G Ioannidis | 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
Converging genetic and epigenetic drivers of paediatric acute lymphoblastic leukaemia identified by an information-theoretic analysis
2021 | Michael A Koldobskiy, Garrett Jenkinson, Jordi Abante, Varenka A Rodriguez DiBlasi, Weiqiang Zhou, Elisabet Pujadas, Adrian Idrizi, Rakel Tryggvadottir, Colin Callahan, Challice L Bonifant, Karen R Rabin, Patrick A Brown, Hongkai Ji, John Goutsias, Andrew P Feinberg | Nature biomedical engineering 5 (4), 360-376, 2021
Estimating DNA methylation potential energy landscapes from nanopore sequencing data
2021 | Jordi Abante, Sandeep Kambhampati, Andrew P Feinberg, John Goutsias | Scientific Reports 11 (21619), 2021
STATISTICAL SIGNAL PROCESSING METHODS FOR EPIGENETIC LANDSCAPE ANALYSIS
2021 | Jordi Abante Llenas | Johns Hopkins University, 2021
Universal promoter scanning by Pol II during transcription initiation in Saccharomyces cerevisiae
2020 | Chenxi Qiu, Huiyan Jin, Irina Vvedenskaya, Jordi Abante Llenas, Tingting Zhao, Indranil Malik, Alex M Visbisky, Scott L Schwartz, Ping Cui, Pavel Čabart, Kang Hoo Han, William KM Lai, Richard P Metz, Charles D Johnson, Sing-Hoi Sze, B Franklin Pugh, Bryce E Nickels, Craig D Kaplan | Genome biology 21, 1-31, 2020
Detection of haplotype-dependent allele-specific DNA methylation in WGBS data
2020 | J Abante, Y Fang, AP Feinberg, J Goutsias | Nature communications 11 (1), 5238, 2020
A dysregulated DNA methylation landscape linked to gene expression in MLL-rearranged AML
2020 | Michael A Koldobskiy, Jordi Abante, Garrett Jenkinson, Elisabet Pujadas, Ashley Tetens, Feifei Zhao, Rakel Tryggvadottir, Adrian Idrizi, Andreas Reinisch, Ravindra Majeti, John Goutsias, Andrew P Feinberg | Epigenetics 15 (8), 841-858, 2020
CpelTdm.jl: a Julia package for targeted differential DNA methylation analysis
2020 | J. Abante, J. Goutsias | bioRxiv, 343020, 2020
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
2019 | Michael P Menden, Dennis Wang, Mike J Mason, Bence Szalai, Krishna C Bulusu, Yuanfang Guan, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, In Sock Jang, Zara Ghazoui, Mehmet Eren Ahsen, Robert Vogel, Elias Chaibub Neto, Thea Norman, Eric KY Tang, Mathew J Garnett, Giovanni Y Di Veroli, Stephen Fawell, Gustavo Stolovitzky, Justin Guinney, Jonathan R Dry, Julio Saez-Rodriguez | Nature communications 10 (1), 2674, 2019
Ranking genomic features using an information-theoretic measure of epigenetic discordance
2019 | Garrett Jenkinson, Jordi Abante, Michael A Koldobskiy, Andrew P Feinberg, John Goutsias | BMC bioinformatics 20, 1-17, 2019
Promoter scanning during transcription initiation in Saccharomyces cerevisiae: Pol II in the “shooting gallery”
2019 | Chenxi Qiu, Huiyan Jin, Irina Vvedenskaya, Jordi Abante Llenas, Tingting Zhao, Indranil Malik, Alex M Visbisky, Scott L Schwartz, Ping Cui, Pavel Čabart, Kang Hoo Han, William KM Lai, Richard P Metz, Charles D Johnson, Sing-Hoi Sze, B Franklin Pugh, Bryce E Nickels, Craig D Kaplan | Biorxiv, 810127, 2019
An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data
2018 | Garrett Jenkinson, Jordi Abante, Andrew P Feinberg, John Goutsias | BMC bioinformatics 19, 1-23, 2018
HiMMe: using genetic patterns as a proxy for genome assembly reliability assessment
2017 | Jordi Abante, Noushin Ghaffari, Charles D Johnson, Aniruddha Datta | BMC genomics 18, 1-13, 2017
What are the most influencing factors in reconstructing a reliable transcriptome assembly?
2017 | Noushin Ghaffari, Jordi Abante, Raminder Singh, Philip D Blood, Lenore Pipes, Christopher Mason, Charles D Johnson | bioRxiv, 220269, 2017
Computational considerations in transcriptome assemblies and their evaluation, using high quality human rna-seq data
2016 | Noushin Ghaffari, Jordi Abante, Raminder Singh, Philip D Blood, Charles D Johnson | Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at …, 2016
Disseny, control i implementació d'un inversor trifàsic per un vehicle elèctric
2014 | Jordi Abante Llenas | Universitat Politècnica de Catalunya, 2014
Fast, Flexible, and Free: Enabling Large-Scale Genome Assembly and Analysis with the Bridges Supercomputer
Philip Blood, Noushin Ghaffari, Arun S Seetharam, Lenore Pipes, Raminder Singh, Jordi Abante, Andrew J Severin, Charles D Johnson, Christopher E Mason | Plant and Animal Genome XXVI Conference (January 13-17, 2018), 0
