dc.contributor.author | Sarmashghi, Shahab | |
dc.contributor.author | Bohmann, Kristine | |
dc.contributor.author | Gilbert, Marcus Thomas Pius | |
dc.contributor.author | Bafna, Vineet | |
dc.contributor.author | Mirarab, Siavash | |
dc.date.accessioned | 2019-12-19T07:35:39Z | |
dc.date.available | 2019-12-19T07:35:39Z | |
dc.date.created | 2018-12-07T15:51:44Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Genome Biology. 2019. 20 (34). | nb_NO |
dc.identifier.issn | 1465-6906 | |
dc.identifier.uri | http://hdl.handle.net/11250/2634065 | |
dc.description.abstract | The ability to inexpensively describe taxonomic diversity is critical in this era of rapid climate and biodiversity changes. The recent genome-skimming approach extends current barcoding practices beyond short markers by applying low-pass sequencing and recovering whole organelle genomes computationally. This approach discards the nuclear DNA, which constitutes the vast majority of the data. In contrast, we suggest using all unassembled reads. We introduce an assembly-free and alignment-free tool, Skmer, to compute genomic distances between the query and reference genome skims. Skmer shows excellent accuracy in estimating distances and identifying the closest match in reference datasets. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | BioMed Central | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Skmer: assembly-free and alignment-free sample identification using genome skims | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 20 | nb_NO |
dc.source.volume | 20 | nb_NO |
dc.source.journal | Genome Biology | nb_NO |
dc.source.issue | 34 | nb_NO |
dc.identifier.doi | 10.1186/s13059-019-1632-4 | |
dc.identifier.cristin | 1640491 | |
dc.description.localcode | Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | nb_NO |
cristin.unitcode | 194,31,10,0 | |
cristin.unitname | Institutt for naturhistorie | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |