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2024-10-08

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cc-by (c) Tarradas-Alemany, M. et al., 2024
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/217854

CAPTVRED: An automated pipeline for viral tracking and discovery from capture-based metagenomics samples.

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https://doi.org/https://doi.org/10.1093/bioadv/vbae150

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Summary: Target Enrichment Sequencing or Capture-based metagenomics has emerged as an approach of interest for viral metagenomics in complex samples. However, these datasets are usually analyzed with standard downstream Bioinformatics analyses. CAPTVRED (Capture-based metagenomics Analysis Pipeline for tracking ViRal species from Environmental Datasets), has been designed to assess the virome present in complex samples, specially focused on those obtained by Target Enrichment Sequencing approach. This work aims to provide a user-friendly tool that complements this sequencing approach for the total or partial virome description, especially from environmental matrices. It includes a setup module which allows preparation and adjustment of the pipeline to any capture panel directed to a set of species of interest. The tool also aims to reduce time and computational cost, as well as to provide comprehensive, reproducible, and accessible results while being easy to costume, set up, and install. Availability and implementation: Source code and test datasets are freely available at github repository: https://github.com/CompGenLabUB/CAPTVRED.git

Matèries

Metagenòmica, Bioinformàtica

Matèries (anglès)

Metagenomics, Bioinformatics

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Articles publicats en revistes (Genètica, Microbiologia i Estadística)
Articles publicats en revistes (Institut de Biomedicina (IBUB))

Citació

TARRADAS-ALEMANY, Maria, MARTÍNEZ-PUCHOL, Sandra, MEJÍAS-MOLINA, Cristina, ITARTE, Marta, RUSIÑOL ARANTEGUI, Marta, BOFILL MAS, Silvia, ABRIL FERRANDO, Josep francesc. CAPTVRED: An automated pipeline for viral tracking and discovery from capture-based metagenomics samples.. _Bioinformatics Advances_. 2024. Vol. 4, núm. 1. [consulta: 24 de gener de 2026]. ISSN: 2635-0041. [Disponible a: https://hdl.handle.net/2445/217854]

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