Dhariwal Achal, Junges Roger, Chen Tsute, Petersen Fernanda C
Institute of Oral Biology, Faculty of Dentistry, University of Oslo, 0372 Oslo, Norway.
Department of Microbiology, The Forsyth Institute, 02142 Cambridge, MA, USA.
NAR Genom Bioinform. 2021 Mar 24;3(1):lqab018. doi: 10.1093/nargab/lqab018. eCollection 2021 Mar.
The study of resistomes using whole metagenomic sequencing enables high-throughput identification of resistance genes in complex microbial communities, such as the human microbiome. Over recent years, sophisticated and diverse pipelines have been established to facilitate raw data processing and annotation. Despite the progress, there are no easy-to-use tools for comprehensive visual, statistical and functional analysis of resistome data. Thus, exploration of the resulting large complex datasets remains a key bottleneck requiring robust computational resources and technical expertise, which creates a significant hurdle for advancements in the field. Here, we introduce ResistoXplorer, a user-friendly tool that integrates recent advancements in statistics and visualization, coupled with extensive functional annotations and phenotype collection, to enable high-throughput analysis of common outputs generated from metagenomic resistome studies. ResistoXplorer contains three modules-the 'Antimicrobial Resistance Gene Table' module offers various options for composition profiling, functional profiling and comparative analysis of resistome data; the 'Integration' module supports integrative exploratory analysis of resistome and microbiome abundance profiles derived from metagenomic samples; finally, the 'Antimicrobial Resistance Gene List' module enables users to intuitively explore the associations between antimicrobial resistance genes and the microbial hosts using network visual analytics to gain biological insights. ResistoXplorer is publicly available at http://www.resistoxplorer.no.
使用全宏基因组测序技术研究抗性组,能够高通量鉴定复杂微生物群落(如人类微生物组)中的抗性基因。近年来,已建立了复杂多样的流程来促进原始数据的处理和注释。尽管取得了进展,但目前还没有易于使用的工具来对抗性组数据进行全面的可视化、统计和功能分析。因此,对由此产生的大型复杂数据集进行探索仍然是一个关键瓶颈,需要强大的计算资源和专业技术知识,这为该领域的进展造成了重大障碍。在此,我们介绍ResistoXplorer,这是一个用户友好型工具,它整合了统计和可视化方面的最新进展,并结合了广泛的功能注释和表型收集,以实现对宏基因组抗性组研究产生的常见输出进行高通量分析。ResistoXplorer包含三个模块——“抗菌抗性基因表”模块为抗性组数据的组成分析、功能分析和比较分析提供了各种选项;“整合”模块支持对源自宏基因组样本的抗性组和微生物组丰度谱进行综合探索性分析;最后一个“抗菌抗性基因列表”模块使用户能够通过网络可视化分析直观地探索抗菌抗性基因与微生物宿主之间的关联,从而获得生物学见解。ResistoXplorer可在http://www.resistoxplorer.no上公开获取。