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VPipe: an Automated Bioinformatics Platform for Assembly and Management of Viral Next-Generation Sequencing Data.
| Content Provider | Europe PMC |
|---|---|
| Author | Wagner, Darlene D. Marine, Rachel L. Ramos, Edward Ng, Terry Fei Fan Castro, Christina J. Okomo-Adhiambo, Margaret Harvey, Krysten Doho, Gregory Kelly, Reagan Jain, Yatish Tatusov, Roman L. Silva, Hideky Rota, Paul A. Khan, Agha N. Oberste, M. Steven |
| Editor | Chen, Wei-Hua |
| Abstract | ABSTRACTNext-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.IMPORTANCE Computational infrastructure and bioinformatics analysis are bottlenecks in the application of NGS to viral pathogens. As of September 2021, VPipe has been used by the U.S. Centers for Disease Control and Prevention (CDC) and 12 state public health laboratories to characterize >17,500 and 1,500 clinical specimens and isolates, respectively. VPipe automates genome assembly for a wide range of viruses, including high-consequence pathogens such as SARS-CoV-2. Such automated functionality expedites public health responses to viral outbreaks and pathogen surveillance. |
| Page Count | 10 |
| Volume Number | 10 |
| PubMed Central reference number | PMC8941893 |
| Issue Number | 2 |
| PubMed reference number | 35234489 |
| Journal | Microbiology Spectrum [Microbiol Spectr] |
| e-ISSN | 21650497 |
| DOI | 10.1128/spectrum.02564-21 |
| Language | English |
| Publisher | American Society for Microbiology |
| Publisher Date | 2022-03-02 |
| Publisher Place | N.W., Washington, DC |
| Access Restriction | Open |
| Rights License | This is a work of the U.S. Government and is not subject to copyright protection in the United States. Foreign copyrights may apply. |
| Subject Keyword | next-generation sequencing (NGS) automated bioinformatics pipeline viral molecular detection infectious disease surveillance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cell Biology Physiology Infectious Diseases Immunology and Microbiology Genetics Microbiology (medical) Ecology |