The Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL 35294, United States.
Bioinformatics. 2023 Dec 1;39(12). doi: 10.1093/bioinformatics/btad759.
High-throughput sequencing technologies have enabled cross-species comparative transcriptomic studies; however, there are numerous challenges for these studies due to biological and technical factors. We developed CoSIA (Cross-Species Investigation and Analysis), a Bioconductor R package and Shiny app that provides an alternative framework for cross-species transcriptomic comparison of non-diseased wild-type RNA sequencing gene expression data from Bgee across tissues and species (human, mouse, rat, zebrafish, fly, and nematode) through visualization of variability, diversity, and specificity metrics.
高通量测序技术使跨物种比较转录组学研究成为可能；然而，由于生物和技术因素，这些研究存在许多挑战。我们开发了 CoSIA（跨物种研究和分析），这是一个 Bioconductor R 包和 Shiny 应用程序，它通过可视化变异性、多样性和特异性指标，为 Bgee 中非疾病野生型 RNA 测序基因表达数据在组织和物种（人类、小鼠、大鼠、斑马鱼、果蝇和线虫）之间的跨物种转录组比较提供了替代框架。
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