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Software evaluation reveals an integrated gene annotation and identifier conversion tool across eight model organisms, highlighting enhanced reproducibility in genomic workflows.
Motivation High-throughput sequencing generates large gene lists, making data interpretation challenging. Accurate gene annotation and reliable conversion between identifiers (e.g., gene symbols, Ensembl GeneIDs, Entrez GeneIDs) are essential for integrating datasets, conducting functional analyses, and enabling cross-species comparisons. Existing tools and databases facilitate annotation but often suffer from inconsistencies, missing mappings, and fragmented workflows, limiting reproducibility and interpretability. Results To address these limitations, we developed , an R package that unifies gene identifier conversion, orthologs mapping, and pathway annotation across eight model organisms ( Homo sapiens , Mus musculus , Rattus novergicus , Drosophila melanogaster , Danio rerio , Saccharomyces cerevisiae , Caenorhabditis elegans , Arabidopsis thaliana ). provides an up-to-date, precise, and coherent framework that preserves data integrity, enables cross-species analyses, and facilitates robust interpretation of gene function and regulation, outperforming state-of-the-art gene annotation tools. Availability geneslator is available at https://github.com/knowmicslab/geneslator .
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Cavallaro et al. (2026) studied this question.
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