Solu:实时基因组病原体监测云平台。

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS BMC Bioinformatics Pub Date : 2025-01-13 DOI:10.1186/s12859-024-06005-z
Timo Saratto, Kerkko Visuri, Jonatan Lehtinen, Irene Ortega-Sanz, Jacob L Steenwyk, Samuel Sihvonen
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引用次数: 0

摘要

背景:基因组监测被广泛用于跟踪公共卫生暴发和卫生保健相关病原体。尽管生物信息学管道取得了进步,但在基础设施、专业知识和安全方面,当涉及到持续监测时,仍然存在重大挑战。现有的管道通常需要用户建立和管理自己的基础设施,并且不适合持续监测,这需要将新的和定期生成的测序数据与以前的分析相结合。此外,学术项目往往不符合医疗保健提供者的隐私要求。结果:我们提出了Solu,一个基于云的平台,将基因组数据集成到一个实时的、以隐私为中心的监控系统中。评价:Solu在分类分配、抗菌素耐药基因和系统发育方面的准确性与已建立的病原体监测管道相当。在某些情况下,Solu发现了以前未发现的抗微生物药物耐药性基因。总之,这些发现证明了我们平台的有效性。结论:通过实现可靠、用户友好和注重隐私的基因组监测,Solu有可能弥合前沿研究与医疗保健环境中实际、广泛应用之间的差距。该平台可在https://platform.solugenomics.com上免费用于学术用途。
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Solu: a cloud platform for real-time genomic pathogen surveillance.

Background: Genomic surveillance is extensively used for tracking public health outbreaks and healthcare-associated pathogens. Despite advancements in bioinformatics pipelines, there are still significant challenges in terms of infrastructure, expertise, and security when it comes to continuous surveillance. The existing pipelines often require the user to set up and manage their own infrastructure and are not designed for continuous surveillance that demands integration of new and regularly generated sequencing data with previous analyses. Additionally, academic projects often do not meet the privacy requirements of healthcare providers.

Results: We present Solu, a cloud-based platform that integrates genomic data into a real-time, privacy-focused surveillance system.

Evaluation: Solu's accuracy for taxonomy assignment, antimicrobial resistance genes, and phylogenetics was comparable to established pathogen surveillance pipelines. In some cases, Solu identified antimicrobial resistance genes that were previously undetected. Together, these findings demonstrate the efficacy of our platform.

Conclusions: By enabling reliable, user-friendly, and privacy-focused genomic surveillance, Solu has the potential to bridge the gap between cutting-edge research and practical, widespread application in healthcare settings. The platform is available for free academic use at https://platform.solugenomics.com .

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来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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