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

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

Bioinform Adv

Computational Genomics Lab, Department of Genetics, Microbiology and Statistics, Universitat de Barcelona (UB), Institut de Biomedicina UB (IBUB), Barcelona, Catalonia 08028, Spain.

Published: October 2024

AI Article Synopsis

  • CAPTVRED is a user-friendly tool designed for analyzing viral metagenomics data obtained from Target Enrichment Sequencing, especially in complex samples like environmental matrices.
  • It aims to provide comprehensive and reproducible results while reducing analysis time and computational costs.
  • The source code and test datasets are freely accessible on GitHub, making it easier for researchers to implement and customize the tool.

Article 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 (), 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11495672PMC
http://dx.doi.org/10.1093/bioadv/vbae150DOI Listing

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