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New approaches for metagenome assembly with short reads
In recent years, the use of longer range read data combined with advances in assembly algorithms has stimulated big improvements in the contiguity and quality of genome assemblies. However, these advances have not directly transferred to metagenomic data sets, as assumptions made by the single genom...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299287/ https://www.ncbi.nlm.nih.gov/pubmed/30815668 http://dx.doi.org/10.1093/bib/bbz020 |
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author | Ayling, Martin Clark, Matthew D Leggett, Richard M |
author_facet | Ayling, Martin Clark, Matthew D Leggett, Richard M |
author_sort | Ayling, Martin |
collection | PubMed |
description | In recent years, the use of longer range read data combined with advances in assembly algorithms has stimulated big improvements in the contiguity and quality of genome assemblies. However, these advances have not directly transferred to metagenomic data sets, as assumptions made by the single genome assembly algorithms do not apply when assembling multiple genomes at varying levels of abundance. The development of dedicated assemblers for metagenomic data was a relatively late innovation and for many years, researchers had to make do using tools designed for single genomes. This has changed in the last few years and we have seen the emergence of a new type of tool built using different principles. In this review, we describe the challenges inherent in metagenomic assemblies and compare the different approaches taken by these novel assembly tools. |
format | Online Article Text |
id | pubmed-7299287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72992872020-06-22 New approaches for metagenome assembly with short reads Ayling, Martin Clark, Matthew D Leggett, Richard M Brief Bioinform Review Article In recent years, the use of longer range read data combined with advances in assembly algorithms has stimulated big improvements in the contiguity and quality of genome assemblies. However, these advances have not directly transferred to metagenomic data sets, as assumptions made by the single genome assembly algorithms do not apply when assembling multiple genomes at varying levels of abundance. The development of dedicated assemblers for metagenomic data was a relatively late innovation and for many years, researchers had to make do using tools designed for single genomes. This has changed in the last few years and we have seen the emergence of a new type of tool built using different principles. In this review, we describe the challenges inherent in metagenomic assemblies and compare the different approaches taken by these novel assembly tools. Oxford University Press 2019-02-28 /pmc/articles/PMC7299287/ /pubmed/30815668 http://dx.doi.org/10.1093/bib/bbz020 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Ayling, Martin Clark, Matthew D Leggett, Richard M New approaches for metagenome assembly with short reads |
title | New approaches for metagenome assembly with short reads |
title_full | New approaches for metagenome assembly with short reads |
title_fullStr | New approaches for metagenome assembly with short reads |
title_full_unstemmed | New approaches for metagenome assembly with short reads |
title_short | New approaches for metagenome assembly with short reads |
title_sort | new approaches for metagenome assembly with short reads |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299287/ https://www.ncbi.nlm.nih.gov/pubmed/30815668 http://dx.doi.org/10.1093/bib/bbz020 |
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