CalmBelt

CalmBelt enables on-site Nanopore-based whole-genome characterization of SARS-CoV-2 for rapid outbreak tracking.


Key Features:

  • On-site Nanopore sequencing and assembly: Uses Nanopore sequencing to construct draft SARS-CoV-2 genomes from multiple samples with a reported ~12-hour turnaround.
  • Integration of genomic and epidemiological metadata: Combines whole-genome sequence data with collection dates and predefined potential clusters from epidemiological investigations.
  • Nomenclature assignment and relatedness visualization: Assigns sequences to GISAID clades and PANGO lineages and visualizes sample relatedness alongside these classifications.
  • Rapid cluster identification: Performs rapid analysis of SARS-CoV-2 genomes to identify potential COVID-19 clusters for infection-control decision-making.

Scientific Applications:

  • Hospital transmission investigation: Detects and characterizes potential transmissions within healthcare settings by comparing relatedness of SARS-CoV-2 genomes.
  • Outbreak transmission mining: Maps transmission patterns during large outbreaks by integrating genomic data with collection dates and cluster definitions.
  • Surveillance for diagnostic escape variants: Monitors sequence data to identify variants that may affect diagnostic assays.
  • Rapid infection-control support in clinical labs: Provides timely genomic information to support immediate infection-control measures and identification of variants of concern.

Methodology:

Performs Nanopore sequencing and rapid genome assembly to generate draft SARS-CoV-2 genomes and assigns sequences to GISAID clades and PANGO lineages for downstream relatedness analysis.

Topics

Collections

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
web application, workflow
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
6/9/2022
Last Updated:
6/9/2022

Operations

Publications

Yingtaweesittikul H, Ko K, Abdul Rahman N, Tan SYL, Nagarajan N, Suphavilai C. CalmBelt: Rapid SARS-CoV-2 Genome Characterization for Outbreak Tracking. Frontiers in Medicine. 2021;8. doi:10.3389/fmed.2021.790662. PMID:34970567. PMCID:PMC8712659.

Links