Evidence map›Paper›PMID 35234489›Full record

ArticleMicrobiology spectrum2022

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 and 5 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Darlene D Wagner *Eagle Global Scientific LLC, Atlanta, Georgia, USA.ORCID 0000-0001-6096-2170
Rachel L Marine *Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Preventiongrid.416738.f, Atlanta, Georgia, USA.ORCID 0000-0002-3875-2959
Edward RamosGeneral Dynamics Information Technology, Atlanta, Georgia, USA.ORCID 0000-0001-9312-0826
Terry Fei Fan NgDivision of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Preventiongrid.416738.f, Atlanta, Georgia, USA.ORCID 0000-0002-4815-8697
Christina J CastroOak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA.ORCID 0000-0001-6452-1540
Margaret Okomo-AdhiamboOffice of Informatics, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Preventiongrid.416738.f, Atlanta, Georgia, USA.ORCID 0000-0003-0415-8916
Krysten HarveyOak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA.
Gregory DohoGeneral Dynamics Information Technology, Atlanta, Georgia, USA.
Reagan KellyGeneral Dynamics Information Technology, Atlanta, Georgia, USA.ORCID 0000-0002-5063-0655
Yatish JainGeneral Dynamics Information Technology, Atlanta, Georgia, USA.ORCID 0000-0002-0556-6586
Roman L TatusovEagle Global Scientific LLC, Atlanta, Georgia, USA.
Hideky SilvaGeneral Dynamics Information Technology, Atlanta, Georgia, USA.ORCID 0000-0002-6698-0465
Paul A RotaDivision of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Preventiongrid.416738.f, Atlanta, Georgia, USA.ORCID 0000-0002-8595-4094
Agha N KhanOffice of Informatics, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Preventiongrid.416738.f, Atlanta, Georgia, USA.
M Steven ObersteDivision of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Preventiongrid.416738.f, Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · USGeneral Dynamics (United States) · USOak Ridge Associated Universities · USEagle Mount · US

Funding

CDC HHS
6 · The paper itself

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.

Indexed as

COVID-19VirusesComputational BiologyHigh-Throughput Nucleotide SequencingHumansSARS-CoV-2automated bioinformatics pipelineinfectious disease surveillancenext-generation sequencing (NGS)viral molecular detection

Identifiers

PMID35234489
PMCPMC8941893
OpenAlexW4214883060

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.