Exploiting open source omics data to advance pancreas research
The “omics” revolution has transformed the biomedical research landscape by equipping scientists with the ability to interrogate complex biological phenomenondisease processes at an unprecedented level. The volume of “big” data generated by the different omics studies such as genomics, transcriptomics, proteomics,metabolomics has led to the concurrent development of computational tools to enable in silico analysisaid data deconvolution. Considering the intensive resourceshigh costs required to generateanalyze big data, there has been centralized, collaborative efforts to make the dataanalysis tools freely available as “Open Source,” to benefit the wider research community. Pancreatology research studies have contributed to this “big data rush”have additionally benefitted from utilizing the open source data as evidenced by the increasing number of new research findingspublications that stem from such data. In this review, we briefly introduce the evolution of open source omics data, data types, the “FAIR” guiding principles for data managementreuse,centralized platforms that enable freefair data accessibility, availability,provide tools for omics data analysis. We illustrate, through the case study of our own experience in mining pancreatitis omics data, the power of repurposing open source data to answer translationally relevant questions in pancreas research.
2026-06-25