Methods for copy number aberration detection from single-cell DNA-sequencing data

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dc.citation.articleNumber208en_US
dc.citation.journalTitleGenome Biologyen_US
dc.citation.volumeNumber21en_US
dc.contributor.authorMallory, Xian F.en_US
dc.contributor.authorEdrisi, Mohammadaminen_US
dc.contributor.authorNavin, Nicholasen_US
dc.contributor.authorNakhleh, Luayen_US
dc.date.accessioned2020-11-03T19:41:53Zen_US
dc.date.available2020-11-03T19:41:53Zen_US
dc.date.issued2020en_US
dc.description.abstractCopy number aberrations (CNAs), which are pathogenic copy number variations (CNVs), play an important role in the initiation and progression of cancer. Single-cell DNA-sequencing (scDNAseq) technologies produce data that is ideal for inferring CNAs. In this review, we review eight methods that have been developed for detecting CNAs in scDNAseq data, and categorize them according to the steps of a seven-step pipeline that they employ. Furthermore, we review models and methods for evolutionary analyses of CNAs from scDNAseq data and highlight advances and future research directions for computational methods for CNA detection from scDNAseq data.en_US
dc.identifier.citationMallory, Xian F., Edrisi, Mohammadamin, Navin, Nicholas, et al.. "Methods for copy number aberration detection from single-cell DNA-sequencing data." <i>Genome Biology,</i> 21, (2020) Springer Nature: https://doi.org/10.1186/s13059-020-02119-8.en_US
dc.identifier.doihttps://doi.org/10.1186/s13059-020-02119-8en_US
dc.identifier.urihttps://hdl.handle.net/1911/109487en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleMethods for copy number aberration detection from single-cell DNA-sequencing dataen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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