Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences , Isfahan , Iran.
Regenerative Medicine Research Center, Isfahan University of Medical Sciences , Isfahan , Iran.
RNA Biol. 2019 Nov;16(11):1531-1533. doi: 10.1080/15476286.2019.1652525. Epub 2019 Aug 12.
The omics technologies provide an invaluable opportunity to employ a global view towards human diseases. However, the appropriate translation of big data to knowledge remains a major challenge. In this study, we have performed quality control assessments for 91 transcriptomics datasets deposited in gene expression omnibus database and also have evaluated the publications derived from these datasets. This survey shows that drawbacks in the analyses and reports of transcriptomics studies are more common than one may assume. This report is concluded with some suggestions for researchers and reviewers to enhance the minimal requirements for gene expression data generation, analysis and report.
组学技术为从全局角度研究人类疾病提供了宝贵的机会。然而，如何将大数据转化为知识仍然是一个重大挑战。在本研究中，我们对基因表达数据库中 91 个转录组数据集进行了质量控制评估，并对源自这些数据集的出版物进行了评估。该调查表明，转录组学研究的分析和报告中的缺陷比人们想象的更为常见。本报告最后为研究人员和审稿人提出了一些建议，以提高基因表达数据生成、分析和报告的最低要求。
