Author

Davide Bagordo

University of PaviaORCID 0009-0001-1018-9076Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Assay:protein sequence· 1

Frequent Co-Authors

Francesco LescaiiD· 4 shared Mariangela SantorsolaiD· 2 shared Andrea MazzantiiD· 1 shared Cezar Grigorean· 1 shared Gauthier TrèvesiD· 1 shared Giorgio ColomboiD· 1 shared Lorenzo SolaiD· 1 shared Massimiliano RuoccoiD· 1 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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4 shared papersBioinformatics

Francesco LescaiORCID

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Author profile →

4 papers

Recent·Most cited

nanorepertoire: an end-to-end Nextflow pipeline for nanobody repertoire analysis

Davide Bagordo, Nicola Martelossi, Francesco Lescai

nanorepertoire is an end-to-end Nextflow pipeline for analyzing camelid nanobody repertoires, providing standardized and reproducible analysis of AIRR-seq data.

bioRxiv · Sep 16, 2026 · PreprintBioinformatics

SIEVE: Sparse Interpretable Exome Variant Explainer

Davide Bagordo, Cezar Grigorean, Andrea Mazzanti, Massimiliano Ruocco, Francesco Lescai

SIEVE is a deep-learning framework for variant and gene prioritization in exome studies, achieving strong discrimination and recovering known associations across diseases.

bioRxiv · Aug 6, 2026 · PreprintBioinformatics

Adaptive disorder as the hallmark of nanobodies antigen-binding loops

Davide Bagordo, Gauthier Trèves, Mariangela Santorsola, Giorgio Colombo, Francesco Lescai

This study identifies nanobody CDRs using deep learning and structural analysis, finding that their disorder and conformational diversity are adaptive features.

Journal of Chemical Information and Modeling · May 22, 2026Peer-reviewedImmunology

Eduomics: a Nextflow pipeline to simulate -omics data for education

Lorenzo Sola, Davide Bagordo, Simone Carpanzano, Mariangela Santorsola, Francesco Lescai

Eduomics is a Nextflow pipeline that simulates genomic and transcriptomic data for educational purposes, providing realistic clinical scenarios to enhance bioinformatics learning.

NAR Genomics and Bioinformatics · Jan 6, 2026Peer-reviewedBioinformatics