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VPipe: an automated bioinformatics platform for assembly and management of viral next-generation sequencing data

Darlene D. Wagner, Rachel L. Marine, Edward Ramos, Terry Fei Fan Ng, Christina J. Castro, Margaret Okomo-Adhiambo*, Krysten Harvey, Gregory Doho, Reagan Kelly, Yatish Jain, Roman L. Tatusov, Hideky Silva, Paul A. Rota, Agha N. Khan, M. Steven Oberste

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Next-generation sequencing (NGS) is a powerful tool for detecting and investigating viral pathogens; however, analysis and management of the enormous amounts of data generated from these technologies remains a challenge. Here, we present VPipe (the Viral NGS Analysis Pipeline and Data Management System), an automated bioinformatics pipeline optimized for whole-genome assembly of viral sequences and identification of diverse species. VPipe automates the data quality control, assembly, and contig identification steps typically performed when analyzing NGS data. Users access the pipeline through a secure web-based portal, which provides an easy-to-use interface with advanced search capabilities for reviewing results. In addition, VPipe provides a centralized system for storing and analyzing NGS data, eliminating common bottlenecks in bioinformatics analyses for public health laboratories with limited on-site computational infrastructure. The performance of VPipe was validated through the analysis of publicly available NGS data sets for viral pathogens, generating high-quality assemblies for 12 data sets. VPipe also generated assemblies with greater contiguity than similar pipelines for 41 human respiratory syncytial virus isolates and 23 SARS-CoV-2 specimens.

Original languageEnglish
Article numbere02564-21
Pages (from-to)1-10
Number of pages10
JournalMicrobiology Spectrum
Volume10
Issue number2
Early online date2 Mar 2022
DOIs
Publication statusPublished - Apr 2022
Externally publishedYes

Keywords

  • next-generation sequencing (NGS)
  • automated bioinformatics pipeline
  • viral molecular detection
  • infectious disease surveillance

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