lineagespot

lineagespot identifies SARS-CoV-2 lineages and tracks variant-associated mutations using next-generation sequencing (NGS) data from wastewater for community-level surveillance.


Key Features:

  • Wastewater Surveillance: Detects SARS-CoV-2 RNA in wastewater to monitor community-level virus prevalence.
  • Next-Generation Sequencing (NGS) Integration: Analyzes NGS-derived sequencing data to detect mutations and infer viral lineages.
  • Variant Detection and Tracking: Records temporal dynamics of SARS-CoV-2 variants, including detection of the Alpha variant (B.1.1.7), across samples.
  • Correlation with Clinical Data: Compares mutations detected in wastewater with those observed in clinical samples from the same geographic area and time period.
  • Implementation in R: The analytical framework and lineage-assignment procedures are implemented in R.

Scientific Applications:

  • Wastewater-based epidemiology: Validated on NGS data from 14 wastewater samples collected over six months in Thessaloniki, Greece, to identify SARS-CoV-2 variants and characterize lineage composition for epidemiological surveillance.

Methodology:

Implemented in R; analyzes NGS-derived SARS-CoV-2 wastewater sequencing to detect mutations and assign viral lineages.

Topics

Collections

Details

License:
MIT
Maturity:
Emerging
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
5/17/2021
Last Updated:
11/24/2024

Operations

Publications

Pechlivanis N, Tsagiopoulou M, Maniou MC, Togkousidis A, Mouchtaropoulou E, Chassalevris T, Chaintoutis SC, Petala M, Kostoglou M, Karapantsios T, Laidou S, Vlachonikola E, Chatzidimitriou A, Papadopoulos A, Papaioannou N, Dovas CI, Argiriou A, Psomopoulos F. Detecting SARS-CoV-2 lineages and mutational load in municipal wastewater and a use-case in the metropolitan area of Thessaloniki, Greece. Scientific Reports. 2022;12(1). doi:10.1038/s41598-022-06625-6. PMID:35177697. PMCID:PMC8854625.