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 language | English |
|---|---|
| Article number | e02564-21 |
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | Microbiology Spectrum |
| Volume | 10 |
| Issue number | 2 |
| Early online date | 2 Mar 2022 |
| DOIs | |
| Publication status | Published - Apr 2022 |
| Externally published | Yes |
Keywords
- next-generation sequencing (NGS)
- automated bioinformatics pipeline
- viral molecular detection
- infectious disease surveillance
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