A current challenge in genomics is to interpret non-coding regions and their role in transcriptional regulation of possibly distant target genes. Genome-wide association studies show that a large part of genomic variants are found in those non-coding regions, but their mechanisms of gene regulation are often unknown. An additional challenge is to reliably identify the target genes of the regulatory regions, which is an essential step in understanding their impact on gene expression. Here we present the EpiRegio web server, a resource of regulatory elements (REMs). REMs are genomic regions that exhibit variations in their chromatin accessibility profile associated with changes in expression of their target genes. EpiRegio incorporates both epigenomic and gene expression data for various human primary cell types and tissues, providing an integrated view of REMs in the genome. Our web server allows the analysis of genes and their associated REMs, including the REM’s activity and its estimated cell type-specific contribution to its target gene’s expression. Further, it is possible to explore genomic regions for their regulatory potential, investigate overlapping REMs and by that the dissection of regions of large epigenomic complexity. EpiRegio allows programmatic access through a REST API and is freely available at https://epiregio.de/.

中文翻译：

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EpiRegio：分析和检索与基因相关的调控元件。

基因组学当前的挑战是解释非编码区及其在可能遥远的靶基因转录调控中的作用。全基因组关联研究表明，很大一部分基因组变异存在于这些非编码区，但它们的基因调控机制往往是未知的。另一个挑战是可靠地识别调控​​区域的靶基因，这是了解它们对基因表达的影响的重要一步。在这里，我们介绍EpiRegio Web 服务器，它是一种监管元素 (REM) 资源。REM 是基因组区域，其染色质可及性谱表现出与靶基因表达变化相关的变化。EpiRegio整合了各种人类原代细胞类型和组织的表观基因组和基因表达数据，提供了基因组中 REM 的综合视图。我们的网络服务器允许分析基因及其相关的 REM，包括 REM 的活性及其估计的细胞类型特异性对其目标基因表达的贡献。此外，还可以探索基因组区域的调控潜力，研究重叠的 REM，并由此剖析具有大表观基因组复杂性的区域。EpiRegio允许通过 REST API 进行编程访问，并且可以在 https://epiregio.de/ 上免费获取。