Mishra Gyan Prakash, Ghosh Arup, Jha Atimukta, Raghav Sunil Kumar
Immunogenomics and Systems Biology Laboratory, Institute of Life Sciences, Bhubaneswar, India.
School of Biotechnology, KIIT University, Bhubaneswar, India.
Front Genet. 2020 Feb 5;11:3. doi: 10.3389/fgene.2020.00003. eCollection 2020.
A large number of genomic regions, such as transcription factor binding sites (TFBSs) captured from next generation sequencing (NGS) data analyses or those available from the public resource database ENCODE, are generally overlapped to answer a variety of biological questions. Though several command-line tools are available to perform such an analysis, there is a notable lack of an integrated webserver application with which to identify genomic region intersections, generate publication-ready plots depicting subsets of the overlapped regions, and perform functional annotation. Thus, there is an ardent need for a comprehensive and user-friendly webserver application that allows the users to either upload multiple datasets or select from the integrated Gene Transcription Regulation Database (GTRD). We thus introduce BedSect (http://imgsb.org/bedsect/.), which not only fulfils the above criteria but also performs intersection analysis along with visualization of the intersection regions as an UpSet and correlation plot using the integrated Shiny application. Moreover, analyses, including functional annotation, gene ontology, and biological pathways enrichment for the identified unique and intersected genomic regions, can also be performed using the integrated GREAT tool. To view the genomic regions in the genome browser, the inbuilt hyperlink for UCSC can redirect the user to visualize the results as custom tracks.
大量的基因组区域,例如从下一代测序(NGS)数据分析中捕获的转录因子结合位点(TFBS)或可从公共资源数据库ENCODE中获取的那些区域,通常相互重叠,以回答各种生物学问题。尽管有几种命令行工具可用于执行此类分析,但明显缺乏一个集成的网络服务器应用程序,用于识别基因组区域的交集、生成描绘重叠区域子集的可用于发表的图表以及进行功能注释。因此,迫切需要一个全面且用户友好的网络服务器应用程序,允许用户上传多个数据集或从集成的基因转录调控数据库(GTRD)中进行选择。因此,我们引入了BedSect(http://imgsb.org/bedsect/),它不仅满足上述标准,还使用集成的Shiny应用程序进行交集分析,并将交集区域可视化为UpSet图和相关图。此外,还可以使用集成的GREAT工具对识别出的独特和相交的基因组区域进行包括功能注释、基因本体和生物途径富集在内的分析。要在基因组浏览器中查看基因组区域,内置的UCSC超链接可将用户重定向以将结果可视化为自定义轨迹。