Evidence map›Paper›PMID 41348596›Full record

ArticleBriefings in bioinformatics2025

ViromeXplore: integrative workflows for complete and reproducible virome characterization.

Rodrigo Hernández-Velázquez, Michal Ziemski, Nicholas A Bokulich

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Rodrigo Hernández-VelázquezDepartment of Health Sciences and Technology, ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland.ORCID 0009-0009-3048-8573
Michal ZiemskiDepartment of Health Sciences and Technology, ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland.
Nicholas A BokulichDepartment of Health Sciences and Technology, ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland.ORCID 0000-0002-1784-8935

Funding

European Union nor European Research Executive AgencySwiss State Secretariat for Education, Research and Innovation 22.00210
6 · The paper itself

Abstract

Viruses play a crucial role in shaping microbial communities and global biogeochemical cycles, yet their vast genetic diversity remains underexplored. Next-generation sequencing technologies allow untargeted profiling of metagenomes from viral communities (viromes). However, existing workflows often lack modularity, flexibility, and seamless integration with other microbiome analysis platforms. Here, we introduce "ViromeXplore," a set of modular Nextflow workflows designed for efficient virome analysis. ViromeXplore incorporates state-of-the-art tools for contamination estimation, viral sequence identification, taxonomic assignment, functional annotation, and host prediction while optimizing computational resources. The workflows are containerized using Docker and Singularity, ensuring reproducibility and ease of deployment. Additionally, ViromeXplore offers optional integration with QIIME 2 and MOSHPIT, facilitating provenance tracking and interoperability with microbiome bioinformatics pipelines. By providing a scalable, user-friendly, and computationally efficient framework, ViromeXplore enhances viral metagenomic analysis and contributes to a deeper understanding of viral ecology. ViromeXplore is freely available at https://github.com/rhernandvel/ViromeXplore.

Indexed as

Computational BiologyMetagenomicsSoftwareViromeVirusesWorkflowGenome, ViralHigh-Throughput Nucleotide SequencingMetagenomeMicrobiotaReproducibility of ResultsmetagenomicsNextflowviromicsvirusworkflow

Identifiers

PMID41348596
PMCPMC12862488

What OpenQuestion holds

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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.