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NanoRTax, a real-time pipeline for taxonomic and diversity analysis of nanopore 16S rRNA amplicon sequencing data.
- Source :
-
Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2022 Sep 23; Vol. 20, pp. 5350-5354. Date of Electronic Publication: 2022 Sep 23 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- Background: The study of microbial communities and their applications have been leveraged by advances in sequencing techniques and bioinformatics tools. The Oxford Nanopore Technologies long-read sequencing by nanopores provides a portable and cost-efficient platform for sequencing assays. While this opens the possibility of sequencing applications outside specialized environments and real-time analysis of data, complementing the existing efficient library preparation protocols with streamlined bioinformatic workflows is required.<br />Results: Here we present NanoRTax, a Nextflow pipeline for nanopore 16S rRNA gene amplicon data that features state-of-the-art taxonomic classification tools and real-time capability. The pipeline is paired with a web-based visual interface to enable user-friendly inspections of the experiment in progress. NanoRTax workflow and a simulated real-time analysis were used to validate the prediction of adult Intensive Care Unit patient mortality based on full-length 16S rRNA sequencing data from respiratory microbiome samples.<br />Conclusions: This constitutes a proof-of-concept simulation study of how real-time bioinformatic workflows could be used to shorten the turnaround times in critical care settings and provides an instrument for future research on early-response strategies for sepsis.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2022 The Author(s).)
Details
- Language :
- English
- ISSN :
- 2001-0370
- Volume :
- 20
- Database :
- MEDLINE
- Journal :
- Computational and structural biotechnology journal
- Publication Type :
- Academic Journal
- Accession number :
- 36212537
- Full Text :
- https://doi.org/10.1016/j.csbj.2022.09.024