ViromeXplore: integrative workflows for complete and reproducible virome characterization.
Where this comes from
- Record sourced from PubMed, PMID 41348596.
- Also identified by DOI 10.1093/bib/bbaf638 and PMC identifier 12862488.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Virome
- Workflow
- Metagenomics
- Software
- Computational Biology
- Viruses