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CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads
Metabarcoding DNA sequencing has revolutionized the study of microbial communities. Third-generation sequencing producing long reads had opened up new perspectives. Obtaining the full-length ribosomal RNA gene would permit one to reach a better taxonomic resolution at the species or the strain level...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531135/ https://www.ncbi.nlm.nih.gov/pubmed/37762307 http://dx.doi.org/10.3390/ijms241814005 |
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author | Mesloub, Yasmina Beury, Delphine Vandermeeren, Félix Caboche, Ségolène |
author_facet | Mesloub, Yasmina Beury, Delphine Vandermeeren, Félix Caboche, Ségolène |
author_sort | Mesloub, Yasmina |
collection | PubMed |
description | Metabarcoding DNA sequencing has revolutionized the study of microbial communities. Third-generation sequencing producing long reads had opened up new perspectives. Obtaining the full-length ribosomal RNA gene would permit one to reach a better taxonomic resolution at the species or the strain level. However, Oxford Nanopore Technologies (ONT) sequencing produces reads with high error rates, which introduces biases in analysis. Understanding the biases introduced during the analysis allows one to better interpret the biological results and take care of conclusions drawn from metabarcoding experiments. To benchmark an analysis process, the ground truth, i.e., the real composition of the microbial community, has to be known. In addition to artificial mock communities, simulated data are often used to evaluate the biases and performances of the bioinformatics analysis step. Currently, no specific tool has been developed to simulate metabarcoding long reads, mimic the error rate and the length distribution, and allow one to benchmark the analysis process. Here, we introduce CuReSim-LoRM, for the customized read simulator to generate long reads for metabarcoding. We showed that CuReSim-LoRM is able to produce reads with varying error rates and length distributions by mimicking the real data very well. |
format | Online Article Text |
id | pubmed-10531135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105311352023-09-28 CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads Mesloub, Yasmina Beury, Delphine Vandermeeren, Félix Caboche, Ségolène Int J Mol Sci Article Metabarcoding DNA sequencing has revolutionized the study of microbial communities. Third-generation sequencing producing long reads had opened up new perspectives. Obtaining the full-length ribosomal RNA gene would permit one to reach a better taxonomic resolution at the species or the strain level. However, Oxford Nanopore Technologies (ONT) sequencing produces reads with high error rates, which introduces biases in analysis. Understanding the biases introduced during the analysis allows one to better interpret the biological results and take care of conclusions drawn from metabarcoding experiments. To benchmark an analysis process, the ground truth, i.e., the real composition of the microbial community, has to be known. In addition to artificial mock communities, simulated data are often used to evaluate the biases and performances of the bioinformatics analysis step. Currently, no specific tool has been developed to simulate metabarcoding long reads, mimic the error rate and the length distribution, and allow one to benchmark the analysis process. Here, we introduce CuReSim-LoRM, for the customized read simulator to generate long reads for metabarcoding. We showed that CuReSim-LoRM is able to produce reads with varying error rates and length distributions by mimicking the real data very well. MDPI 2023-09-12 /pmc/articles/PMC10531135/ /pubmed/37762307 http://dx.doi.org/10.3390/ijms241814005 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mesloub, Yasmina Beury, Delphine Vandermeeren, Félix Caboche, Ségolène CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads |
title | CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads |
title_full | CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads |
title_fullStr | CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads |
title_full_unstemmed | CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads |
title_short | CuReSim-LoRM: A Tool to Simulate Metabarcoding Long Reads |
title_sort | curesim-lorm: a tool to simulate metabarcoding long reads |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531135/ https://www.ncbi.nlm.nih.gov/pubmed/37762307 http://dx.doi.org/10.3390/ijms241814005 |
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