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MIDAS2: Metagenomic Intra-species Diversity Analysis System
SUMMARY: The Metagenomic Intra-Species Diversity Analysis System (MIDAS) is a scalable metagenomic pipeline that identifies single nucleotide variants (SNVs) and gene copy number variants in microbial populations. Here, we present MIDAS2, which addresses the computational challenges presented by inc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805558/ https://www.ncbi.nlm.nih.gov/pubmed/36321886 http://dx.doi.org/10.1093/bioinformatics/btac713 |
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author | Zhao, Chunyu Dimitrov, Boris Goldman, Miriam Nayfach, Stephen Pollard, Katherine S |
author_facet | Zhao, Chunyu Dimitrov, Boris Goldman, Miriam Nayfach, Stephen Pollard, Katherine S |
author_sort | Zhao, Chunyu |
collection | PubMed |
description | SUMMARY: The Metagenomic Intra-Species Diversity Analysis System (MIDAS) is a scalable metagenomic pipeline that identifies single nucleotide variants (SNVs) and gene copy number variants in microbial populations. Here, we present MIDAS2, which addresses the computational challenges presented by increasingly large reference genome databases, while adding functionality for building custom databases and leveraging paired-end reads to improve SNV accuracy. This fast and scalable reengineering of the MIDAS pipeline enables thousands of metagenomic samples to be efficiently genotyped. AVAILABILITY AND IMPLEMENTATION: The source code is available at https://github.com/czbiohub/MIDAS2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9805558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98055582023-01-03 MIDAS2: Metagenomic Intra-species Diversity Analysis System Zhao, Chunyu Dimitrov, Boris Goldman, Miriam Nayfach, Stephen Pollard, Katherine S Bioinformatics Applications Note SUMMARY: The Metagenomic Intra-Species Diversity Analysis System (MIDAS) is a scalable metagenomic pipeline that identifies single nucleotide variants (SNVs) and gene copy number variants in microbial populations. Here, we present MIDAS2, which addresses the computational challenges presented by increasingly large reference genome databases, while adding functionality for building custom databases and leveraging paired-end reads to improve SNV accuracy. This fast and scalable reengineering of the MIDAS pipeline enables thousands of metagenomic samples to be efficiently genotyped. AVAILABILITY AND IMPLEMENTATION: The source code is available at https://github.com/czbiohub/MIDAS2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-11-02 /pmc/articles/PMC9805558/ /pubmed/36321886 http://dx.doi.org/10.1093/bioinformatics/btac713 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Zhao, Chunyu Dimitrov, Boris Goldman, Miriam Nayfach, Stephen Pollard, Katherine S MIDAS2: Metagenomic Intra-species Diversity Analysis System |
title | MIDAS2: Metagenomic Intra-species Diversity Analysis System |
title_full | MIDAS2: Metagenomic Intra-species Diversity Analysis System |
title_fullStr | MIDAS2: Metagenomic Intra-species Diversity Analysis System |
title_full_unstemmed | MIDAS2: Metagenomic Intra-species Diversity Analysis System |
title_short | MIDAS2: Metagenomic Intra-species Diversity Analysis System |
title_sort | midas2: metagenomic intra-species diversity analysis system |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805558/ https://www.ncbi.nlm.nih.gov/pubmed/36321886 http://dx.doi.org/10.1093/bioinformatics/btac713 |
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