{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T09:58:25Z","timestamp":1756461505563,"version":"3.37.3"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"16","license":[{"start":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T00:00:00Z","timestamp":1656547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Marie Curie Intra-European Fellowship programme","award":["101027750"],"award-info":[{"award-number":["101027750"]}]},{"name":"European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation programme","award":["681605"],"award-info":[{"award-number":["681605"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Summary<\/jats:title><jats:p>Ancient DNA datasets are increasingly difficult to visualize for users lacking computational experience. Here, we describe mapDATAge, which aims to provide user-friendly automated modules for the interactive mapping of allele, haplogroup and\/or ancestry distributions through space and time. mapDATAge enhances collaborative data sharing while assisting the assessment and reporting of spatiotemporal patterns of genetic changes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>mapDATAge is a Shiny R application designed for exploring spatiotemporal patterns in ancient DNA data through a graphical user interface. It is freely available under GNU Public License in Github: https:\/\/github.com\/xuefenfei712\/mapDATAge.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btac425","type":"journal-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:48:00Z","timestamp":1656604080000},"page":"3992-3994","source":"Crossref","is-referenced-by-count":6,"title":["mapDATAge: a ShinyR package to chart ancient DNA data through space and time"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6871-2640","authenticated-orcid":false,"given":"Xuexue","family":"Liu","sequence":"first","affiliation":[{"name":"Centre for Anthropobiology and Genomics of Toulouse, CNRS UMR 5288, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier , Toulouse 31000, France"}]},{"given":"Ludovic","family":"Orlando","sequence":"additional","affiliation":[{"name":"Centre for Anthropobiology and Genomics of Toulouse, CNRS UMR 5288, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier , Toulouse 31000, France"}]}],"member":"286","published-online":{"date-parts":[[2022,6,30]]},"reference":[{"key":"2023041408474232700_","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1016\/j.cell.2019.03.049","article-title":"Tracking five millennia of horse management with extensive ancient genome time series","volume":"177","author":"Fages","year":"2019","journal-title":"Cell"},{"key":"2023041408474232700_","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1038\/s41576-020-0225-0","article-title":"Animal domestication in the era of ancient genomics","volume":"21","author":"Frantz","year":"2020","journal-title":"Nat. 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Insights from Central Asian herders and ancient DNA","volume":"18","author":"Segurel","year":"2020","journal-title":"PLoS Biol"},{"key":"2023041408474232700_","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1038\/s41586-021-03224-9","article-title":"Million-year-old DNA sheds light on the genomic history of mammoths","volume":"591","author":"Van der Valk","year":"2021","journal-title":"Nature"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/btac425\/44475983\/btac425.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/38\/16\/3992\/49889909\/btac425.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/38\/16\/3992\/49889909\/btac425.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T23:48:43Z","timestamp":1700783323000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/38\/16\/3992\/6623404"}},"subtitle":[],"editor":[{"given":"Jonathan","family":"Wren","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,6,30]]},"references-count":11,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2022,8,10]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btac425","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"type":"print","value":"1367-4803"},{"type":"electronic","value":"1367-4811"}],"subject":[],"published-other":{"date-parts":[[2022,8,15]]},"published":{"date-parts":[[2022,6,30]]}}}