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MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data

SUMMARY: Shotgun metagenomics by high-throughput sequencing may allow deep and accurate characterization of host-associated total microbiomes, including bacteria, viruses, protists and fungi. However, the analysis of such sequencing data is still extremely challenging in terms of both overall accura...

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Autores principales: Fosso, B, Santamaria, M, D’Antonio, M, Lovero, D, Corrado, G, Vizza, E, Passaro, N, Garbuglia, A R, Capobianchi, M R, Crescenzi, M, Valiente, G, Pesole, G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5447231/
https://www.ncbi.nlm.nih.gov/pubmed/28130230
http://dx.doi.org/10.1093/bioinformatics/btx036
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author Fosso, B
Santamaria, M
D’Antonio, M
Lovero, D
Corrado, G
Vizza, E
Passaro, N
Garbuglia, A R
Capobianchi, M R
Crescenzi, M
Valiente, G
Pesole, G
author_facet Fosso, B
Santamaria, M
D’Antonio, M
Lovero, D
Corrado, G
Vizza, E
Passaro, N
Garbuglia, A R
Capobianchi, M R
Crescenzi, M
Valiente, G
Pesole, G
author_sort Fosso, B
collection PubMed
description SUMMARY: Shotgun metagenomics by high-throughput sequencing may allow deep and accurate characterization of host-associated total microbiomes, including bacteria, viruses, protists and fungi. However, the analysis of such sequencing data is still extremely challenging in terms of both overall accuracy and computational efficiency, and current methodologies show substantial variability in misclassification rate and resolution at lower taxonomic ranks or are limited to specific life domains (e.g. only bacteria). We present here MetaShot, a workflow for assessing the total microbiome composition from host-associated shotgun sequence data, and show its overall optimal accuracy performance by analyzing both simulated and real datasets. AVAILABILITY AND IMPLEMENTATION: https://github.com/bfosso/MetaShot SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-54472312017-05-31 MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data Fosso, B Santamaria, M D’Antonio, M Lovero, D Corrado, G Vizza, E Passaro, N Garbuglia, A R Capobianchi, M R Crescenzi, M Valiente, G Pesole, G Bioinformatics Applications Notes SUMMARY: Shotgun metagenomics by high-throughput sequencing may allow deep and accurate characterization of host-associated total microbiomes, including bacteria, viruses, protists and fungi. However, the analysis of such sequencing data is still extremely challenging in terms of both overall accuracy and computational efficiency, and current methodologies show substantial variability in misclassification rate and resolution at lower taxonomic ranks or are limited to specific life domains (e.g. only bacteria). We present here MetaShot, a workflow for assessing the total microbiome composition from host-associated shotgun sequence data, and show its overall optimal accuracy performance by analyzing both simulated and real datasets. AVAILABILITY AND IMPLEMENTATION: https://github.com/bfosso/MetaShot SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-06-01 2017-01-27 /pmc/articles/PMC5447231/ /pubmed/28130230 http://dx.doi.org/10.1093/bioinformatics/btx036 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Fosso, B
Santamaria, M
D’Antonio, M
Lovero, D
Corrado, G
Vizza, E
Passaro, N
Garbuglia, A R
Capobianchi, M R
Crescenzi, M
Valiente, G
Pesole, G
MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data
title MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data
title_full MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data
title_fullStr MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data
title_full_unstemmed MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data
title_short MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data
title_sort metashot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5447231/
https://www.ncbi.nlm.nih.gov/pubmed/28130230
http://dx.doi.org/10.1093/bioinformatics/btx036
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