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.