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An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs
Here, we describe MetaErg, a standalone and fully automated metagenome and metaproteome annotation pipeline. Annotation of metagenomes is challenging. First, metagenomes contain sequence data of many organisms from all domains of life. Second, many of these are from understudied lineages, encoding g...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803454/ https://www.ncbi.nlm.nih.gov/pubmed/31681429 http://dx.doi.org/10.3389/fgene.2019.00999 |
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author | Dong, Xiaoli Strous, Marc |
author_facet | Dong, Xiaoli Strous, Marc |
author_sort | Dong, Xiaoli |
collection | PubMed |
description | Here, we describe MetaErg, a standalone and fully automated metagenome and metaproteome annotation pipeline. Annotation of metagenomes is challenging. First, metagenomes contain sequence data of many organisms from all domains of life. Second, many of these are from understudied lineages, encoding genes with low similarity to experimentally validated reference genes. Third, assembly and binning are not perfect, sometimes resulting in artifactual hybrid contigs or genomes. To address these challenges, MetaErg provides graphical summaries of annotation outcomes, both for the complete metagenome and for individual metagenome-assembled genomes (MAGs). It performs a comprehensive annotation of each gene, including taxonomic classification, enabling functional inferences despite low similarity to reference genes, as well as detection of potential assembly or binning artifacts. When provided with metaproteome information, it visualizes gene and pathway activity using sequencing coverage and proteomic spectral counts, respectively. For visualization, MetaErg provides an HTML interface, bringing all annotation results together, and producing sortable and searchable tables, collapsible trees, and other graphic representations enabling intuitive navigation of complex data. MetaErg, implemented in Perl, HTML, and JavaScript, is a fully open source application, distributed under Academic Free License at https://github.com/xiaoli-dong/metaerg. MetaErg is also available as a docker image at https://hub.docker.com/r/xiaolidong/docker-metaerg. |
format | Online Article Text |
id | pubmed-6803454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68034542019-11-03 An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs Dong, Xiaoli Strous, Marc Front Genet Genetics Here, we describe MetaErg, a standalone and fully automated metagenome and metaproteome annotation pipeline. Annotation of metagenomes is challenging. First, metagenomes contain sequence data of many organisms from all domains of life. Second, many of these are from understudied lineages, encoding genes with low similarity to experimentally validated reference genes. Third, assembly and binning are not perfect, sometimes resulting in artifactual hybrid contigs or genomes. To address these challenges, MetaErg provides graphical summaries of annotation outcomes, both for the complete metagenome and for individual metagenome-assembled genomes (MAGs). It performs a comprehensive annotation of each gene, including taxonomic classification, enabling functional inferences despite low similarity to reference genes, as well as detection of potential assembly or binning artifacts. When provided with metaproteome information, it visualizes gene and pathway activity using sequencing coverage and proteomic spectral counts, respectively. For visualization, MetaErg provides an HTML interface, bringing all annotation results together, and producing sortable and searchable tables, collapsible trees, and other graphic representations enabling intuitive navigation of complex data. MetaErg, implemented in Perl, HTML, and JavaScript, is a fully open source application, distributed under Academic Free License at https://github.com/xiaoli-dong/metaerg. MetaErg is also available as a docker image at https://hub.docker.com/r/xiaolidong/docker-metaerg. Frontiers Media S.A. 2019-10-15 /pmc/articles/PMC6803454/ /pubmed/31681429 http://dx.doi.org/10.3389/fgene.2019.00999 Text en Copyright © 2019 Dong and Strous http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Dong, Xiaoli Strous, Marc An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs |
title | An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs |
title_full | An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs |
title_fullStr | An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs |
title_full_unstemmed | An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs |
title_short | An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs |
title_sort | integrated pipeline for annotation and visualization of metagenomic contigs |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803454/ https://www.ncbi.nlm.nih.gov/pubmed/31681429 http://dx.doi.org/10.3389/fgene.2019.00999 |
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