Author

Paula Ramilo

Fundación Pública Galega de Medicina Xenómica

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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Microbiology· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Organism:virus· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

A Osuna· 2 shared Alberto FernándeziD· 2 shared Antón VizcaínoiD· 2 shared José M. Sánchez‐RuiziD· 2 shared Laura García‐CorzoiD· 2 shared Margarita Barriga· 2 shared Olga Barranco-Gómez· 2 shared Valeria A. RissoiD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMicrobiology

A Osuna

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Prevalent phenotypic mutation impairs binding of broadly neutralizing antibodies to influenza hemagglutinin

Margarita Barriga, Olga Barranco-Gómez, Laura García‐Corzo, Alberto Fernández, Antón Vizcaíno, Paula Ramilo, A Osuna, Valeria A. Risso, José M. Sánchez‐Ruiz

The paper identifies a prevalent transcription error in influenza hemagglutinin mRNA that leads to a phenotypic mutation reducing binding of broadly neutralizing antibodies.

bioRxiv · Jul 25, 2026 · PreprintMicrobiology

Influenza evolution/adaptation samples a highly non-random error landscape for hemagglutinin-encoding RNA

Olga Barranco-Gómez, Margarita Barriga, Alberto Fernández, Laura García‐Corzo, Antón Vizcaíno, Paula Ramilo, A Osuna, Valeria A. Risso, José M. Sánchez‐Ruiz

This study examines the error landscape of hemagglutinin-encoding RNA in influenza, showing that mutations from high-frequency errors are preferentially selected during evolution.

bioRxiv · Jun 16, 2026 · PreprintMicrobiology

AFQuery: a bitmap-indexed, capture-aware allele frequency engine for clinical genomics cohorts

Gabriel Santos-Díaz, Noemí Toro-Barrios, Rosario Carmona, Graciela Uría-Regojo, Rocío Jiménez-Arias, Xaquín Gurriarán, Paula Ramilo, Jorge Amigo, Pablo Mínguez, Joaquín Dopazo, Daniel López-López

AFQuery computes capture-aware allele frequencies for clinical genomics cohorts, reducing errors and bias in variant classification.

medRxiv · May 22, 2026 · PreprintGenetic & Genomic Medicine