Protein-coding genes in humans and model mammals (mouse, rat and pig): gene identifiers and disambiguation of gene nomenclature retrieved from the Ensembl genome browser

Gene symbols are not always reliable and should be reported together with stable IDs to enable unequivocal identification of genes. Therefore, data containing only gene symbols should be used cautiously to avoid misidentification of genes. A solution for this problem is our R script REgeness that performs a gene symbol update to current official versions combined with identification of ambiguous symbols and retrieval of other IDs from the Ensembl database.

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Publication Details

Journal
BMC Genomics
Published
2025-12-17
DOI
https://doi.org/10.1186/s12864-025-12329-8
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Protein-coding genes in humans and model mammals (mouse, rat and pig): gene identifiers and disambiguation of gene nomenclature retrieved from the Ensembl genome browser

Grzegorz R. Juszczak, Urszula Czarnik, Chandra S. Pareek, Mariusz Pierzchała
BMC Genomics
Biomedical Text Mining and Ontologies
article

Protein-coding genes in humans and model mammals (mouse, rat and pig): gene identifiers and disambiguation of gene nomenclature retrieved from the Ensembl genome browser

Grzegorz R. Juszczak, Urszula Czarnik, Chandra S. Pareek, Mariusz Pierzchała
article en

Abstract

Gene symbols are not always reliable and should be reported together with stable IDs to enable unequivocal identification of genes. Therefore, data containing only gene symbols should be used cautiously to avoid misidentification of genes. A solution for this problem is our R script REgeness that performs a gene symbol update to current official versions combined with identification of ambiguous symbols and retrieval of other IDs from the Ensembl database.

BMC GenomicsVol. 27(1)
Nicolaus Copernicus University (PL), Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (PL), University of Warmia and Mazury in Olsztyn (PL)
Openalex Percentile: Top 63%
Biomedical Text Mining and Ontologies
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