MetaCarvel: linking assembly graph motifs to biological variants

dc.citation.articleNumber174en_US
dc.citation.journalTitleGenome Biologyen_US
dc.citation.volumeNumber20en_US
dc.contributor.authorGhurye, Jayen_US
dc.contributor.authorTreangen, Todden_US
dc.contributor.authorFedarko, Marcusen_US
dc.contributor.authorHervey, W. Judsonen_US
dc.contributor.authorPop, Mihaien_US
dc.date.accessioned2019-11-14T17:52:27Zen_US
dc.date.available2019-11-14T17:52:27Zen_US
dc.date.issued2019en_US
dc.description.abstractReconstructing genomic segments from metagenomics data is a highly complex task. In addition to general challenges, such as repeats and sequencing errors, metagenomic assembly needs to tolerate the uneven depth of coverage among organisms in a community and differences between nearly identical strains. Previous methods have addressed these issues by smoothing genomic variants. We present a variant-aware metagenomic scaffolder called MetaCarvel, which combines new strategies for repeat detection with graph analytics for the discovery of variants. We show that MetaCarvel can accurately reconstruct genomic segments from complex microbial mixtures and correctly identify and characterize several classes of common genomic variants.en_US
dc.identifier.citationGhurye, Jay, Treangen, Todd, Fedarko, Marcus, et al.. "MetaCarvel: linking assembly graph motifs to biological variants." <i>Genome Biology,</i> 20, (2019) Biomed Central: https://doi.org/10.1186/s13059-019-1791-3.en_US
dc.identifier.digitals13059-019-1791-3en_US
dc.identifier.doihttps://doi.org/10.1186/s13059-019-1791-3en_US
dc.identifier.urihttps://hdl.handle.net/1911/107688en_US
dc.language.isoengen_US
dc.publisherBiomed Centralen_US
dc.rightsThis 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.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/),en_US
dc.titleMetaCarvel: linking assembly graph motifs to biological variantsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
s13059-019-1791-3.pdf
Size:
1.25 MB
Format:
Adobe Portable Document Format