VirPipe

VirPipe detects and analyzes viral genomes from Nanopore and Illumina sequencing data to support identification and analysis of viral sequences.


Key Features:

  • Sequencing compatibility: Supports Nanopore and Illumina sequencing data as input for viral genome detection and analysis.
  • Viral detection and analysis: Integrates computational steps for identification and analysis of viral sequences from raw sequencing reads.
  • Customization options: Provides configurable parameters to adapt processing to different experimental designs and datasets.
  • High-throughput data handling: Designed to process large datasets typical of high-throughput sequencing while maintaining detection accuracy.
  • Implementation technologies: Implemented using Python and Nextflow for workflow management.

Scientific Applications:

  • Outbreak surveillance: Detection of viral genomes from sequencing data to support pathogen surveillance during outbreaks.
  • Epidemiological investigations: Identification of viral sequences to inform epidemiological studies and transmission analyses.
  • Real-time monitoring: Enables real-time analysis and monitoring using Nanopore sequencing for rapid detection and monitoring of viruses.

Methodology:

The pipeline integrates various bioinformatics tools and algorithms to process raw Nanopore and Illumina sequencing data, identify viral sequences, and analyze them, and is designed to handle large high-throughput datasets.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, Perl
Added:
1/3/2024
Last Updated:
11/24/2024

Operations

Publications

Kim K, Park K, Lee S, Baek S, Lim T, Kim J, Manavalan B, Song J, Kim W. VirPipe: an easy-to-use and customizable pipeline for detecting viral genomes from Nanopore sequencing. Bioinformatics. 2023;39(5). doi:10.1093/bioinformatics/btad293. PMID:37129547. PMCID:PMC10191607.

PMID: 37129547
Funding: - Ministry of Oceans and Fisheries: 20210466 - Ministry of Education: NRF-2021R1I1A2049607 - Korea government: 2023R1A2C2006105

Documentation