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A primer on the population genetic analysis of ancient genomes

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dc.contributor.authorJeong, Choongwon-
dc.date.accessioned2024-08-08T01:24:57Z-
dc.date.available2024-08-08T01:24:57Z-
dc.date.created2024-08-06-
dc.date.created2024-08-06-
dc.date.issued2021-
dc.identifier.citationThe Handbook of Mummy Studies: New Frontiers in Scientific and Cultural Perspectives, pp.371-285-
dc.identifier.urihttps://hdl.handle.net/10371/205832-
dc.description.abstractThe genetic analysis of ancient biological remains is increasingly relying on next generation sequencing and genome-wide data it produces. In addition to bioinformatics processing of high-throughput data produced by next generation sequencing, downstream population genetic analyses are critical to fully utilize rich evolutionary information stored in genomic variation data. In this chapter, I summarize representative population genetic methods that are applied to genome-wide data from ancient sources, such as mummies. They aim at detecting genetic relatives, overviewing the genetic profile of the analyzed individuals in the context of worldwide genetic diversity, and formally testing population relationship. For each method, I outline its general principle and provide practical guidance for conducting it.-
dc.language영어-
dc.publisherSpringer Nature-
dc.titleA primer on the population genetic analysis of ancient genomes-
dc.typeArticle-
dc.identifier.doi10.1007/978-981-15-3354-9_49-
dc.citation.journaltitleThe Handbook of Mummy Studies: New Frontiers in Scientific and Cultural Perspectives-
dc.identifier.scopusid2-s2.0-85175502068-
dc.citation.endpage285-
dc.citation.startpage371-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorJeong, Choongwon-
dc.type.docTypeBook Chapter-
dc.description.journalClass1-
dc.subject.keywordAuthorAdmixture-
dc.subject.keywordAuthorF4 statistics qpadm-
dc.subject.keywordAuthorGenetic relatedness-
dc.subject.keywordAuthorMummy genomics-
dc.subject.keywordAuthorPopulation genetics-
dc.subject.keywordAuthorPrincipal component analysis-
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  • College of Natural Sciences
  • School of Biological Sciences
Research Area Bioinformatics, Ecology, Evolutionary Biology, 생물정보학, 생태학, 유전체

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