Author

Jose Bonet

Universitat Pompeu FabraORCID 0000-0002-2625-3503Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:E. coli· 1 Organism:human· 1 Assay:long-read sequencing· 1 Organism:plant (other)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Abel González-PéreziD· 2 shared Núria López-BigasiD· 2 shared Francesco MarassiD· 1 shared Jens LagergreniD· 1 shared Mandi CheniD· 1 shared Marc DabadiD· 1 shared Nico BorgsmülleriD· 1 shared Niko BeerenwinkeliD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Abel González-PérezORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedOct 25, 2021

DeepMP: a deep learning tool to detect DNA base modifications on Nanopore sequencing data

Jose Bonet, Mandi Chen, Marc Dabad…·Jens Lagergren

DeepMP detects DNA methylation from Nanopore sequencing data using a CNN that combines signals and basecalling errors, outperforming existing methods across multiple datasets.

33 citations

humanE. coli

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedJun 19, 2020

Bayesian non-parametric clustering of single-cell mutation profiles

Nico Borgsmüller, Jose Bonet, Francesco Marass…·Niko Beerenwinkel

This paper introduces BnpC, a non-parametric method for clustering single-cell mutation profiles to identify clonal populations, showing improved accuracy and scalability over existing methods.

23 citations

whole-exome sequencingBayesian inference

𝕏 PostBluesky