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dc.contributor.authorChan, Yingleong
dc.contributor.authorChan, Ying K
dc.contributor.authorGuo, Xiaoge
dc.contributor.authorChavez, Alejandro
dc.contributor.authorLim, Elaine T
dc.contributor.authorChurch, George M
dc.contributor.authorChan, Ying Kai
dc.contributor.authorGoodman, Daniel B.
dc.contributor.authorLim, Elaine T.
dc.contributor.authorChurch, George M.
dc.contributor.authorGoodman, Daniel Bryan
dc.date.accessioned2018-04-26T17:37:13Z
dc.date.available2018-04-26T17:37:13Z
dc.date.issued2018-04
dc.date.submitted2017-10
dc.identifier.issn1756-994X
dc.identifier.urihttp://hdl.handle.net/1721.1/114969
dc.description.abstractWe describe a method that enables the multiplex screening of a pool of many different donor cell lines. Our method accurately predicts each donor proportion from the pool without requiring the use of unique DNA barcodes as markers of donor identity. Instead, we take advantage of common single nucleotide polymorphisms, whole-genome sequencing, and an algorithm to calculate the proportions from the sequencing data. By testing using simulated and real data, we showed that our method robustly predicts the individual proportions from a mixed-pool of numerous donors, thus enabling the multiplexed testing of diverse donor cells en masse.en_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.) (Grant RM1HG008525)en_US
dc.description.sponsorshipRobert Wood Johnson Foundation (Grant 74178)en_US
dc.publisherBioMed Central Ltden_US
dc.relation.isversionofhttps://doi.org/10.1186/s13073-018-0541-6en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleEnabling multiplexed testing of pooled donor cells through whole-genome sequencingen_US
dc.typeArticleen_US
dc.identifier.citationChan, Yingleong et al. "Enabling multiplexed testing of pooled donor cells through whole-genome sequencing." Genome Medicine 10 (April 2018): 31 © 2018 The Author(s)en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.mitauthorGoodman, Daniel Bryan
dc.relation.journalGenome Medicineen_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.updated2018-04-22T03:26:11Z
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dspace.orderedauthorsChan, Yingleong; Chan, Ying Kai; Goodman, Daniel B.; Guo, Xiaoge; Chavez, Alejandro; Lim, Elaine T.; Church, George M.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3759-6883
mit.licensePUBLISHER_CCen_US


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