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MetAMOS: a modular and open source metagenomic assembly and analysis pipeline
We describe MetAMOS, an open source and modular metagenomic assembly and analysis pipeline. MetAMOS represents an important step towards fully automated metagenomic analysis, starting with next-generation sequencing reads and producing genomic scaffolds, open-reading frames and taxonomic or function...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053804/ https://www.ncbi.nlm.nih.gov/pubmed/23320958 http://dx.doi.org/10.1186/gb-2013-14-1-r2 |
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author | Treangen, Todd J Koren, Sergey Sommer, Daniel D Liu, Bo Astrovskaya, Irina Ondov, Brian Darling, Aaron E Phillippy, Adam M Pop, Mihai |
author_facet | Treangen, Todd J Koren, Sergey Sommer, Daniel D Liu, Bo Astrovskaya, Irina Ondov, Brian Darling, Aaron E Phillippy, Adam M Pop, Mihai |
author_sort | Treangen, Todd J |
collection | PubMed |
description | We describe MetAMOS, an open source and modular metagenomic assembly and analysis pipeline. MetAMOS represents an important step towards fully automated metagenomic analysis, starting with next-generation sequencing reads and producing genomic scaffolds, open-reading frames and taxonomic or functional annotations. MetAMOS can aid in reducing assembly errors, commonly encountered when assembling metagenomic samples, and improves taxonomic assignment accuracy while also reducing computational cost. MetAMOS can be downloaded from: https://github.com/treangen/MetAMOS. |
format | Online Article Text |
id | pubmed-4053804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40538042014-06-12 MetAMOS: a modular and open source metagenomic assembly and analysis pipeline Treangen, Todd J Koren, Sergey Sommer, Daniel D Liu, Bo Astrovskaya, Irina Ondov, Brian Darling, Aaron E Phillippy, Adam M Pop, Mihai Genome Biol Software We describe MetAMOS, an open source and modular metagenomic assembly and analysis pipeline. MetAMOS represents an important step towards fully automated metagenomic analysis, starting with next-generation sequencing reads and producing genomic scaffolds, open-reading frames and taxonomic or functional annotations. MetAMOS can aid in reducing assembly errors, commonly encountered when assembling metagenomic samples, and improves taxonomic assignment accuracy while also reducing computational cost. MetAMOS can be downloaded from: https://github.com/treangen/MetAMOS. BioMed Central 2013 2013-01-15 /pmc/articles/PMC4053804/ /pubmed/23320958 http://dx.doi.org/10.1186/gb-2013-14-1-r2 Text en Copyright © 2013 Treangen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Treangen, Todd J Koren, Sergey Sommer, Daniel D Liu, Bo Astrovskaya, Irina Ondov, Brian Darling, Aaron E Phillippy, Adam M Pop, Mihai MetAMOS: a modular and open source metagenomic assembly and analysis pipeline |
title | MetAMOS: a modular and open source metagenomic assembly and analysis pipeline |
title_full | MetAMOS: a modular and open source metagenomic assembly and analysis pipeline |
title_fullStr | MetAMOS: a modular and open source metagenomic assembly and analysis pipeline |
title_full_unstemmed | MetAMOS: a modular and open source metagenomic assembly and analysis pipeline |
title_short | MetAMOS: a modular and open source metagenomic assembly and analysis pipeline |
title_sort | metamos: a modular and open source metagenomic assembly and analysis pipeline |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053804/ https://www.ncbi.nlm.nih.gov/pubmed/23320958 http://dx.doi.org/10.1186/gb-2013-14-1-r2 |
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