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Nanometa Live: a user-friendly application for real-time metagenomic data analysis and pathogen identification.

Authors :
Sandås, Kristofer
Lewerentz, Jacob
Karlsson, Edvin
Karlsson, Linda
Sundell, David
Simonyté-Sjödin, Kotryna
Sjödin, Andreas
Source :
Bioinformatics. Mar2024, Vol. 40 Issue 3, p1-3. 3p.
Publication Year :
2024

Abstract

Summary Nanometa Live presents a user-friendly interface designed for real-time metagenomic data analysis and pathogen identification utilizing Oxford Nanopore Technologies' MinION and Flongle flow cells. It offers an efficient workflow and graphical interface for the visualization and interpretation of metagenomic data as it is being generated. Key features include automated BLAST validation, streamlined handling of custom Kraken2 databases, and a simplified graphical user interface for enhanced user experience. Nanometa Live is particularly notable for its capability to run without constant internet or server access once installed, setting it apart from similar tools. It provides a comprehensive view of taxonomic composition and facilitates the detection of user-defined pathogens or other species of interest, catering to both researchers and clinicians. Availability and implementation Nanometa Live has been implemented as a local web application using the Dash framework with Snakemake handling the data processing. The source code is freely accessible on the GitHub repository at https://github.com/FOI-Bioinformatics/nanometa%5flive and it is easily installable using Bioconda. It includes containerization support via Docker and Singularity, ensuring ease of use, reproducibility, and portability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
40
Issue :
3
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
176301105
Full Text :
https://doi.org/10.1093/bioinformatics/btae108