MetAMOS: a modular and open source metagenomic assembly and analysis pipeline

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dc.contributor.authorTreangen, Todd J
dc.contributor.authorKoren, Sergey
dc.contributor.authorSommer, Daniel D
dc.contributor.authorLiu, Bo
dc.contributor.authorAstrovskaya, Irina
dc.contributor.authorOndov, Brian
dc.contributor.authorDarling, Aaron E
dc.contributor.authorPhillippy, Adam M
dc.contributor.authorPop, Mihai
dc.date.accessioned2021-09-28T14:38:15Z
dc.date.available2021-09-28T14:38:15Z
dc.date.issued2013-01-15
dc.description.abstractWe 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 .en_US
dc.description.urihttps://doi.org/10.1186/gb-2013-14-1-r2
dc.identifierhttps://doi.org/10.13016/nssq-yegd
dc.identifier.citationTreangen, T.J., Koren, S., Sommer, D.D. et al. MetAMOS: a modular and open source metagenomic assembly and analysis pipeline. Genome Biol 14, R2 (2013).en_US
dc.identifier.urihttp://hdl.handle.net/1903/28035
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtComputer Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectHuman Microbiome Projecten_US
dc.subjectAssembly Toolen_US
dc.subjectMetagenomic Dataseten_US
dc.subjectMock Communityen_US
dc.subjectTongue Dorsumen_US
dc.titleMetAMOS: a modular and open source metagenomic assembly and analysis pipelineen_US
dc.typeArticleen_US

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