RIPS (rapid intuitive pathogen surveillance): a tool for surveillance of genome sequence data from foodborne bacterial pathogens

Tim Muruvanda, Hugh Rand, James Pettengill, A. Pightling
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Abstract

Monitoring data submitted to the National Center for Biotechnology Information’s Pathogen Detection whole-genome sequence database, which includes the foodborne bacterial pathogens Listeria monocytogenes, Salmonella enterica, and Escherichia coli, has proven effective for detecting emerging outbreaks. As part of the submission process, new sequence data are typed using a whole-genome multi-locus sequence typing scheme and clustered with sequences already in the database. Publicly available text files contain the results of these analyses. However, contextualizing and interpreting this information is complex. We present the Rapid Intuitive Pathogen Surveillance (RIPS) tool, which shows the results of the NCBI Rapid Reports, along with appropriate metadata, in a graphical, interactive dashboard. RIPS makes the information in the Rapid Reports useful for real-time surveillance of genome sequence databases.
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RIPS(快速直观病原体监测):监测食源性细菌病原体基因组序列数据的工具
事实证明,向美国国家生物技术信息中心病原体检测全基因组序列数据库提交的监测数据(包括食源性细菌病原体单核细胞增生李斯特菌、肠炎沙门氏菌和大肠埃希氏菌)可有效检测新出现的疫情。作为提交程序的一部分,新的序列数据将使用全基因组多焦点序列分型方案进行分型,并与数据库中已有的序列进行聚类。公开的文本文件包含这些分析的结果。然而,对这些信息进行背景分析和解释是非常复杂的。我们推出了快速直观病原体监测(RIPS)工具,它以图形、交互式仪表板的形式显示了 NCBI 快速报告的结果以及相应的元数据。RIPS 使快速报告中的信息有助于对基因组序列数据库进行实时监控。
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Editorial: Machine learning approaches to antimicrobials: discovery and resistance RIPS (rapid intuitive pathogen surveillance): a tool for surveillance of genome sequence data from foodborne bacterial pathogens Editorial: Big data and artificial intelligence for genomics and therapeutics – Proceedings of the 19th Annual Meeting of the MidSouth Computational Biology and Bioinformatics Society (MCBIOS) In silico studies of benzothiazole derivatives as potential inhibitors of Anopheles funestus and Anopheles gambiae trehalase Predictive identification and design of potent inhibitors targeting resistance-inducing candidate genes from E. coli whole-genome sequences
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