Author

Jodie Ashford

Aston University

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· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Organism:virus· 1

Frequent Co-Authors

Felipe CampeloiD· 3 shared João Luís Reis-CunhaiD· 2 shared Ana Laura Grossi de OliveiraiD· 1 shared Anikó EkártiD· 1 shared Augusto César Parreiras de JesusiD· 1 shared Daniella Castanheira BartholomeuiD· 1 shared Felipe Campos de Melo IaniiD· 1 shared Francisco Pereira LoboiD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Felipe CampeloORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Phylogeny-aware linear B-cell epitope predictor detects candidate targets for specific immune responses to Monkeypox virus

Felipe Campelo, Ana Laura Grossi de Oliveira, João Luís Reis-Cunha, Vanêssa Gomes Fraga, Pedro Henrique Bastos, Jodie Ashford, Anikó Ekárt, Talita Adelino, Marcos Vinicius Ferreira Silva, Felipe Campos de Melo Iani, Augusto César Parreiras de Jesus, Daniella Castanheira Bartholomeu, Giliane de Souza Trindade, Ricardo Toshio Fujiwara, Lilian Lacerda Bueno, Francisco Pereira Lobo

The paper develops a phylogeny-aware model to predict linear B-cell epitopes for Monkeypox virus, identifying nine specific peptides as potential diagnostic targets.

Briefings in Bioinformatics · Sep 23, 2024Peer-reviewedBioinformatics

Estimated limits of organism-specific training for epitope prediction

Jodie Ashford, Felipe Campelo

This paper investigates how organism-specific training improves epitope prediction performance, even with small datasets, and shows it can outperform generalist models.

bioRxiv · Nov 2, 2021 · PreprintBioinformatics

Multi-objective prioritisation of candidate epitopes for diagnostic test development

Roman Cerny, Jodie Ashford, João Luís Reis-Cunha, Felipe Campelo

This paper presents a multi-objective approach to prioritize epitopes for diagnostic tests, balancing immunogenicity and cross-reactivity, and identifies 20 new potential epitopes across three pathogens.

bioRxiv · Sep 17, 2021 · PreprintBioinformatics