ASpedia-R:检索人类替代剪接事件的接合结合特征和基于知识的功能的软件包

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Bioinformatics advances Pub Date : 2024-05-11 DOI:10.1093/bioadv/vbae071
Daejin Hyung, Soo Young Cho, Kyubin Lee, Namhee Yu, Sehwa Hong, Charny Park
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引用次数: 0

摘要

替代剪接(AS)是赋予人类遗传多样性和表型可塑性的一种关键调控机制。外显子及其侧翼区域包括全面的接合序列特征,如剪接因子结合位点和蛋白质结构域。这些元素涉及外显子的使用,并最终促成了异构体特异的生物学功能。剪接相关序列特征涉及 DNA 和蛋白质的多层调控。然而,大多数分析应用研究的是有限的序列特征,如蛋白质结构域。这不足以全面解释外显子特异性生物学过程的因果关系。随着 RNA-seq 技术的出现,全局 AS 事件分析推导出了更精确的结果。随着分析结果的不断积累,如何识别AS事件的多组学序列特征可能是一个挑战。因此,应用多组学序列特征研究有助于扫描关键证据。ASpedia-R 是一个 R 软件包,用于分析人类基因的结合序列特征。我们的数据库收集了从 DNA 到蛋白质的异质性特征。此外,我们还利用文本挖掘技术收集了基于知识的剪接基因,以测试其与特定通路术语的关联性。我们的软件包通过 AS 事件 ID 转换器为高通量数据分析结果检索 AS 事件。最后,结果档案可视化并保存为多种格式:序列特征结果表、基因组轨迹图、蛋白质-蛋白质相互作用网络和基因组富集测试结果表。我们的软件包是了解剪接全局调控机制的便捷工具。 软件包源代码可在 https://github.com/ncc-bioinfo/ASpedia-R 网站上免费提供给非商业用户。补充数据可在 Bioinformatics Advances 在线查阅。
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ASpedia-R: a package to retrieve junction-incorporating features and knowledge-based functions of human alternative splicing events
Alternative splicing (AS) is a key regulatory mechanism that confers genetic diversity and phenotypic plasticity of human. The exons and their flanking regions include comprehensive junction-incorporating sequence features like splicing factor binding sites, and protein domains. These elements involve in exon usage, and finally contribute to isoform-specific biological functions. Splicing-associated sequence features are involved in the multilayered regulation encompassing DNA and proteins. However, most analysis applications have investigated limited sequence features, like protein domains. It is insufficient to explain the comprehensive cause and effect of exon-specific biological processes. With the advent of RNA-seq technology, global AS event analysis has deduced more precise results. As accumulating analysis results, it could be a challenge to identify multi-omics sequence features for AS events. Therefore, application to investigate multi-omics sequence features is useful to scan critical evidence. ASpedia-R is an R package to interrogate junction-incorporating sequence features for human genes. Our database collected the heterogeneous profile encompassed from DNA to protein. Additionally, knowledge-based splicing genes were collected using text-mining to test the association with specific pathway terms. Our package retrieves AS events for high-throughput data analysis results via AS event ID converter. Finally, result profile could be visualized and saved to multiple formats: sequence feature result table, genome track figure, protein-protein interaction network, and gene set enrichment test result table. Our package is a convenient tool to understand global regulation mechanisms by splicing. The package source code is freely available to non-commercial users at https://github.com/ncc-bioinfo/ASpedia-R. Supplementary data are available at Bioinformatics Advances online.
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