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dc.contributor.authorMalikić, Salem
dc.contributor.authorFord, Michael
dc.contributor.authorQin, Xiang
dc.contributor.authorToji, Lorraine
dc.contributor.authorRadovich, Milan
dc.contributor.authorSkaar, Todd C.
dc.contributor.authorPratt, Victoria M.
dc.contributor.authorScherer, Steve
dc.contributor.authorSahinalp, S. Cenk
dc.contributor.authorNumanagic, Ibrahim
dc.contributor.authorBerger Leighton, Bonnie
dc.date.accessioned2018-10-12T19:25:00Z
dc.date.available2018-10-12T19:25:00Z
dc.date.issued2018-02
dc.date.submitted2017-05
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/1721.1/118470
dc.description.abstractHigh-throughput sequencing provides the means to determine the allelic decomposition for any gene of interest - the number of copies and the exact sequence content of each copy of a gene. Although many clinically and functionally important genes are highly polymorphic and have undergone structural alterations, no high-throughput sequencing data analysis tool has yet been designed to effectively solve the full allelic decomposition problem. Here we introduce a combinatorial optimization framework that successfully resolves this challenging problem, including for genes with structural alterations. We provide an associated computational tool Aldy that performs allelic decomposition of highly polymorphic, multi-copy genes through using whole or targeted genome sequencing data. For a large diverse sequencing data set, Aldy identifies multiple rare and novel alleles for several important pharmacogenes, significantly improving upon the accuracy and utility of current genotyping assays. As more data sets become available, we expect Aldy to become an essential component of genotyping toolkits.en_US
dc.publisherSpringer Natureen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/S41467-018-03273-1en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleAllelic decomposition and exact genotyping of highly polymorphic and structurally variant genesen_US
dc.typeArticleen_US
dc.identifier.citationNumanagić, Ibrahim et al. “Allelic Decomposition and Exact Genotyping of Highly Polymorphic and Structurally Variant Genes.” Nature Communications 9, 1 (February 2018): 828 © 2018 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorNumanagic, Ibrahim
dc.contributor.mitauthorBerger Leighton, Bonnie
dc.relation.journalNature Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-09-26T12:51:30Z
dspace.orderedauthorsNumanagić, Ibrahim; Malikić, Salem; Ford, Michael; Qin, Xiang; Toji, Lorraine; Radovich, Milan; Skaar, Todd C.; Pratt, Victoria M.; Berger, Bonnie; Scherer, Steve; Sahinalp, S. Cenken_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2970-7937
dc.identifier.orcidhttps://orcid.org/0000-0002-2724-7228
mit.licensePUBLISHER_CCen_US


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