Gene name errors: Lessons not learned
Descripción general
Resumen del artículo
This study found that gene name errors in supplementary Excel files continue to be a problem in genomics research, with a higher prevalence (30.9%) than previously reported. The errors are often due to automatic conversion of gene names into dates or other data formats, which is particularly prevalent in Microsoft Excel and Google Sheets. Five-digit numbers (internal date format) represent a new major source of errors, contributing to the discrepancy from past reports.
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Scientists found that their computer lists sometimes mess up important gene names by changing them into dates or numbers by mistake. It's like your toy's name sticker turning into a random date, making it hard to know what's inside!
Posibles conflictos de intereses
None identified
Limitaciones identificadas
Explicación de la calificación
This study provides valuable insights into the persistent problem of gene name errors in supplementary data files and highlights the need for improved research practices. The updated screening method and extensive analysis of PubMed Central articles strengthen the findings. While some limitations exist regarding the scope and impact assessment, the overall methodology is sound and the findings are relevant to improving the quality of published research.
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