PubMatcher: a web app to support genomic data interpretation through simplified bibliographic research
In the era of rapidly accumulating genomic data, largely driven by the broad use of whole-genome sequencing (WGS) in clinical settings, interpreting lesser-known genes with varied phenotypes remains challenging. PubMatcher is a new tool that simplifies bibliographic research for multiple genes at once and grants quick and easy access to relevant gene information. It helps users efficiently identify potential genotype-phenotype associations using PubMed complemented by additional data. By significantly reducing analysis time, PubMatcher supports the interpretation of novel or under-documented genes. Freely available for academic and non-commercial use, PubMatcher is a user-friendly and efficient solution for researchers, clinical scientists and clinical geneticists working on pan-genomics analyses.
Authors
- Perrine Pennamen (ORCID: https://orcid.org/0000-0002-0363-9884)
- Louis Lebreton (ORCID: https://orcid.org/0000-0002-8583-1326)
- V Terribile Wiel Marin (ORCID: https://orcid.org/0009-0000-7439-192X)
- Eulalie Lasseaux
- Anne-Françoise Roux
- Hugo Lannes
- David Baux
- Julien Thevenon
Institutions
- Université de Bordeaux (FR)
- Inserm (FR)
- Université de Montpellier (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Centre Hospitalier Universitaire de Montpellier (FR)
- Hôpital Pellegrin (FR)
- Institut Bergonié (FR)
- Institute for Neurosciences of Montpellier (FR)
- Association pour l'Utilisation du Rein Artificiel (FR)
Publication Details
- Journal
- European Journal of Human Genetics
- Published
- 2026-03-07
- DOI
- https://doi.org/10.1038/s41431-026-02068-z
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00