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

Kristofer SandåsJacob LewerentzEdvin KarlssonLinda KarlssonDavid SundellKotryna Simonyté-SjödinAndreas Sjödin
Published in: Bioinformatics (Oxford, England) (2024)
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_live and it is easily installable using Bioconda. It includes containerization support via Docker and Singularity, ensuring ease of use, reproducibility, and portability.
Keyphrases
  • data analysis
  • electronic health record
  • machine learning
  • bioinformatics analysis
  • wastewater treatment