Evidence map›Paper›PMID 38381034›Full record

ArticleMicrobial genomics2024

ViromeFlowX: a Comprehensive Nextflow-based Automated Workflow for Mining Viral Genomes from Metagenomic Sequencing Data.

Xiaokai Wang, Zhimin Ding, Ying Yang, Lifeng Liang, Yingshuai Sun, Chaojian Hou, Yuning Zheng, Yan Xia, Lixin Dong

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2024. 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
3.2field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 7 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

9 authors at 1 institution in 1 country.

Xiaokai WangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, PR China.
Zhimin Ding01Life Institute, Shenzhen, PR China.
Ying Yang01Life Institute, Shenzhen, PR China.
Lifeng Liang01Life Institute, Shenzhen, PR China.
Yingshuai Sun01Life Institute, Shenzhen, PR China.
Chaojian HouDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, PR China.
Yuning Zheng01Life Institute, Shenzhen, PR China.
Yan Xia01Life Institute, Shenzhen, PR China.
Lixin DongDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, PR China.
City University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the link between the human gut virome and diseases has garnered significant interest in the research community. Extracting virus-related information from metagenomic sequencing data is crucial for unravelling virus composition, host interactions, and disease associations. However, current metagenomic analysis workflows for viral genomes vary in effectiveness, posing challenges for researchers seeking the most up-to-date tools. To address this, we present ViromeFlowX, a user-friendly Nextflow workflow that automates viral genome assembly, identification, classification, and annotation. This streamlined workflow integrates cutting-edge tools for processing raw sequencing data for taxonomic annotation and functional analysis. Application to a dataset of 200 metagenomic samples yielded high-quality viral genomes. ViromeFlowX enables efficient mining of viral genomic data, offering a valuable resource to investigate the gut virome's role in virus-host interactions and virus-related diseases.

Indexed as

Genome, ViralMetagenomeHost Microbial InteractionsHumansMetagenomicsWorkflowNextflow-basedViral Genomes MiningViromeFlowX

Identifiers

PMID38381034
PMCPMC10926697
OpenAlexW4391995228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.