idCOV

idCOV identifies SARS-CoV-2 clades from raw FastQ sequencing reads using a predefined set of clade-defining genetic markers for phylogenetic classification.


Key Features:

  • Clade Identification: Uses a curated list of clade-defining genetic markers to classify SARS-CoV-2 isolates and align calls with established systems such as Nextstrain.org.
  • Raw Read Processing: Accepts raw FastQ sequencing files and processes sequencing reads for clade determination.
  • Validation: Empirical validation on a public dataset shows clade calls consistent with Nextstrain.org annotations across three common clade classification systems.

Scientific Applications:

  • Epidemiological Surveillance: Provides clade assignments to support outbreak tracking and public health surveillance of SARS-CoV-2.
  • Viral Evolution Tracking: Enables monitoring of lineage evolution and mutation patterns in SARS-CoV-2 isolates over time.
  • Variant Monitoring and Vaccine Analyses: Facilitates detection of emerging variants and supports analyses relevant to vaccine development and effectiveness studies.

Methodology:

Processes raw FastQ sequencing reads through a computational pipeline that uses a predefined list of clade-defining genetic markers to assign SARS-CoV-2 isolates to clades.

Topics

Collections

Details

Tool Type:
command-line tool
Programming Languages:
R, Groovy
Added:
1/18/2021
Last Updated:
2/2/2021

Operations

Publications

Zhu X, Chang T, Webby R, Wu G. idCOV: a pipeline for quick clade identification of SARS-CoV-2 isolates. Unknown Journal. 2020. doi:10.1101/2020.10.08.330456. PMID:33052335. PMCID:PMC7553160.

Documentation