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Ancient dna study: Practical aspects

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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.301-315-
dc.identifier.urihttps://hdl.handle.net/10371/205834-
dc.description.abstractThe introduction of next generation sequencing into archaeogenetics transformed the field into a powerhouse of the genetic study of human history. Although the processing of ancient DNA sequencing data follows the same basic principle for that of high-quality modern genomes, there are properties specific to ancient DNA molecules that need to be taken into account during data processing and analysis. In this chapter, I summarize the up-to-date practice of key steps of ancient DNA sequence data, such as the removal of Illumina sequencing adapter, read mapping to the reference genome, tabulation of post-mortem chemical damages, estimation of contamination level, and genotype calling. For each step, I highlight the current practices and the underlying logic for them, as well as directions of future method development.-
dc.language영어-
dc.publisherSpringer Nature-
dc.titleAncient dna study: Practical aspects-
dc.typeArticle-
dc.identifier.doi10.1007/978-981-15-3354-9_11-
dc.citation.journaltitleThe Handbook of Mummy Studies: New Frontiers in Scientific and Cultural Perspectives-
dc.identifier.scopusid2-s2.0-85175503725-
dc.citation.endpage315-
dc.citation.startpage301-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorJeong, Choongwon-
dc.type.docTypeBook Chapter-
dc.description.journalClass1-
dc.subject.keywordAuthorAncient dna-
dc.subject.keywordAuthorAncient genome data analysis-
dc.subject.keywordAuthorChemical damage-
dc.subject.keywordAuthorContamination estimation-
dc.subject.keywordAuthorMummy-
dc.subject.keywordAuthorNext generation sequencing-
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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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