RpNGS: an automated platform for pathogen identification and monitoring in clinical metagenomics data
Jing Zhou, Yao Tian, Min Yang, Ting Hao, Jun Ma, Shengyu Wang

TL;DR
RpNGS is a user-friendly platform that automates pathogen identification and reporting in clinical metagenomics data.
Contribution
RpNGS introduces an automated, standalone platform for managing and analyzing clinical metagenomics data without requiring programming skills.
Findings
RpNGS integrates an interactive interface for managing experimental processes and patient metadata.
The platform generates standardized clinical reports in Word format automatically.
RpNGS was validated using an artificial microbial community and public clinical datasets.
Abstract
The capacity of metagenomic sequencing-based diagnostics to fully identify infections have made them useful instruments in clinical practice. We introduce an interactive platform that runs on a local server-class hardware resource and implements a number of open-source programs. RpNGS integrates an interactive tabular interface for the management of experimental processes, patient metadata, and automated sequencing analysis. This technology optimizes clinical reporting by autonomously generating standardized reports in Word format. We have utilized the platform on an artificial microbial community reference panel and several clinical metagenomics datasets from public databases to demonstrate the efficacy of this workflow. RpNGS is an innovative, user-friendly standalone application designed to store laboratory data (including reagents, primers, contaminants and run configurations),…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenomics and Phylogenetic Studies · Biomedical Text Mining and Ontologies · Scientific Computing and Data Management
