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dc.contributor.authorTen Hoopen, Petra
dc.contributor.authorFinn, Robert D.
dc.contributor.authorBongo, Lars Ailo
dc.contributor.authorCorre, Erwan
dc.contributor.authorFosso, Bruno
dc.contributor.authorMeyer, Folker
dc.contributor.authorMitchell, Alex
dc.contributor.authorPelletier, Eric
dc.contributor.authorPesole, Graziano
dc.contributor.authorSantamaria, Monica
dc.contributor.authorWillassen, Nils Peder
dc.contributor.authorCochrane, Guy
dc.date.accessioned2018-07-24T11:01:47Z
dc.date.available2018-07-24T11:01:47Z
dc.date.issued2017-08-01
dc.description.abstractMetagenomics data analyses from independent studies can only be compared if the analysis workflows are described in a harmonized way. In this overview, we have mapped the landscape of data standards available for the description of essential steps in metagenomics: (i) material sampling, (ii) material sequencing, (iii) data analysis, and (iv) data archiving and publishing. Taking examples from marine research, we summarize essential variables used to describe material sampling processes and sequencing procedures in a metagenomics experiment. These aspects of metagenomics dataset generation have been to some extent addressed by the scientific community, but greater awareness and adoption is still needed. We emphasize the lack of standards relating to reporting how metagenomics datasets are analysed and how the metagenomics data analysis outputs should be archived and published. We propose best practice as a foundation for a community standard to enable reproducibility and better sharing of metagenomics datasets, leading ultimately to greater metagenomics data reuse and repurposing.en_US
dc.descriptionSource at <a href=https://doi.org/10.1093/gigascience/gix047> https://doi.org/10.1093/gigascience/gix047</a>. Accepted manuscript version, licensed <a href=http://creativecommons.org/licenses/by-nc-nd/4.0/> CC BY-NC-ND 4.0.</a>en_US
dc.identifier.citationTen Hoopen, P., Finn, R.D., Bongo, L.A., Corre, E., Fosso, B., Meyer, F., Mitchell, A., Pelletier, E., ... Cochrane, G. (2017). The metagenomic data life-cycle: standards and best practices. GigaScience, 6(8), 1-11. https://doi.org/10.1093/gigascience/gix047</a>en_US
dc.identifier.cristinIDFRIDAID 1513096
dc.identifier.doi10.1093/gigascience/gix047
dc.identifier.issn2047-217X
dc.identifier.urihttps://hdl.handle.net/10037/13251
dc.language.isoengen_US
dc.publisherOxford University Press (OUP)en_US
dc.relation.journalGigaScience
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020-EU.1.4.1.1. - Developing new world-class research infrastructures/676559/EU/TRANSCRIPTOMICS IN CANCER EPIDEMIOLOGY/ELIXIR-EXCELERATE/en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420en_US
dc.titleThe metagenomic data life-cycle: standards and best practicesen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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