Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/217854
Title: CAPTVRED: An automated pipeline for viral tracking and discovery from capture-based metagenomics samples.
Author: Tarradas-Alemany, Maria
Martínez-Puchol, Sandra
Mejías-Molina, Cristina
Itarte, Marta
Rusiñol Arantegui, Marta
Bofill Mas, Silvia
Abril Ferrando, Josep Francesc, 1970-
Keywords: Metagenòmica
Bioinformàtica
Metagenomics
Bioinformatics
Issue Date: 8-Oct-2024
Publisher: Oxford University Press
Abstract: 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
Note: Reproducció del document publicat a: https://doi.org/https://doi.org/10.1093/bioadv/vbae150
It is part of: Bioinformatics Advances, 2024, vol. 4, num.1
URI: https://hdl.handle.net/2445/217854
Related resource: https://doi.org/https://doi.org/10.1093/bioadv/vbae150
ISSN: 2635-0041
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)
Articles publicats en revistes (Institut de Biomedicina (IBUB))

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