Author

Marta Baragli

University of Florence

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genomics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:long-read sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Alberto MagiiD· 4 shared Alessandra MingrinoiD· 2 shared Francesco De LoguiD· 2 shared Gianluca MatteiiD· 2 shared Gianmaria FrigèiD· 2 shared Luca MazzarellaiD· 2 shared Martina ChiecaiD· 2 shared Pier Giuseppe PelicciiD· 2 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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4 shared papersBioinformatics

Alberto MagiORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Triptans reprogram Schwann cells to drive medication-overuse headache via β-glycan/TGF-β3 signaling

Martina Chieca, Matilde Marini, Marta Baragli, Elisa Bellantoni, Lorenzo Bonacchi, Francesco De Cesaris, Cristina Tassorelli, Roberto De Icco, Rosaria Greco, Lucrezia Timotei, Beatrice Pulli, Giuseppe Spinelli, Daniel Souza Monteiro de Araújo, Alice Papini, Gaetano De Siena, , Francesco De Logu

This study identifies Schwann cell 5-HT1B/D signaling as a dual mediator of triptan efficacy and medication-overuse headache via TGF-β3-driven proalgesic pathways.

bioRxiv · Apr 28, 2026 · PreprintPharmacology & Toxicology

Benchmarking DNA Foundation Models for zero-shot variant effect prediction: the role of context, training, and architecture

Ilaria Alfisi, Francesca Ciapi, Marta Baragli, Alberto Magi

This study benchmarks DNA foundation models for zero-shot variant effect prediction, showing that large multi-species models outperform human-only models in capturing contextual effects.

bioRxiv · Jun 15, 2025 · PreprintGenomics

PoreMeth2: decoding the evolution of methylome alterations with Nanopore sequencing

Gianluca Mattei, Marta Baragli, Barbara Gega, Alessandra Mingrino, Martina Chieca, Tommaso Ducci, Gianmaria Frigè, Luca Mazzarella, Romina D’Aurizio, Francesco De Logu, Romina Nassini, Pier Giuseppe Pelicci, Alberto Magi

PoreMeth2 identifies differentially methylated regions using Nanopore sequencing, revealing epigenomic changes in cancer and glial cells.

bioRxiv · Oct 3, 2024 · PreprintBioinformatics

GASOLINE: detecting germline and somatic structural variants from long-reads data.

Alberto Magi, Gianluca Mattei, Alessandra Mingrino, Chiara Caprioli, Chiara Ronchini, Gianmaria Frigè, Roberto Semeraro, Marta Baragli, Davide Bolognini, Emanuela Colombo, Luca Mazzarella, Pier Giuseppe Pelicci

GASOLINE detects germline and somatic structural variants from long-read sequencing data with high accuracy, outperforming existing methods in synthetic and real datasets.

Scientific Reports · Nov 27, 2023Peer-reviewedBioinformatics