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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5447231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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