Evidence map›Paper›PMID 36680080›Full record

ArticleViruses2022

A Customized Monkeypox Virus Genomic Database (MPXV DB v1.0) for Rapid Sequence Analysis and Phylogenomic Discoveries in CLC Microbial Genomics.

Jane Shen-Gunther, Hong Cai, Yufeng Wang

Abstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A comprehensive review of monkeypox virus and mpox characteristics.Frontiers in cellular and infection microbiology · 2024
    Review
  6. Article
  7. Review
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

3 authors.

Jane Shen-GuntherDepartment of Clinical Investigation, Gynecologic Oncology & Clinical Investigation, Brooke Army Medical Center, Fort Sam Houston, TX 78234, USA.ORCID 0000-0002-0876-9338
Hong CaiDepartment of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX 78249, USA.
Yufeng WangDepartment of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX 78249, USA.ORCID 0000-0002-9959-4149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monkeypox has been a neglected, zoonotic tropical disease for over 50 years. Since the 2022 global outbreak, hundreds of human clinical samples have been subjected to next-generation sequencing (NGS) worldwide with raw data deposited in public repositories. However, sequence analysis for in-depth investigation of viral evolution remains hindered by the lack of a curated, whole genome Monkeypox virus (MPXV) database (DB) and efficient bioinformatics pipelines. To address this, we developed a customized MPXV DB for integration with "ready-to-use" workflows in the CLC Microbial Genomics Module for whole genomic and metagenomic analysis. After database construction (218 MPXV genomes), whole genome alignment, pairwise comparison, and evolutionary analysis of all genomes were analyzed to autogenerate tabular outputs and visual displays (collective runtime: 16 min). The clinical utility of the MPXV DB was demonstrated by using a Chimpanzee fecal, hybrid-capture NGS dataset (publicly available) for metagenomic, phylogenomic, and viral/host integration analysis. The clinically relevant MPXV DB embedded in CLC workflows proved to be a rapid method of sequence analysis useful for phylogenomic exploration and a wide range of applications in translational science.

Indexed as

Monkeypox virusMpox, MonkeypoxGenomicsHigh-Throughput Nucleotide SequencingHumansPhylogenybioinformaticsdisease outbreaksmonkeypoxmonkeypox virusnext generation sequencingphylogenypoxvirustaxonomic classificationvirus database

Identifiers

PMID36680080
PMCPMC9861985

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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.