{"title":"GGoutlieR:一个R软件包，用于识别和可视化生物样品的不寻常的地球成因模式","authors":"Che-Wei Chang, Karl Schmid","doi":"10.21105/joss.05687","DOIUrl":null,"url":null,"abstract":"Chang et al., (2023). GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples. Journal of Open Source Software, 8(91), 5687, https://doi.org/10.21105/joss.05687","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"47 3-4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples\",\"authors\":\"Che-Wei Chang, Karl Schmid\",\"doi\":\"10.21105/joss.05687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chang et al., (2023). GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples. Journal of Open Source Software, 8(91), 5687, https://doi.org/10.21105/joss.05687\",\"PeriodicalId\":94101,\"journal\":{\"name\":\"Journal of open source software\",\"volume\":\"47 3-4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of open source software\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21105/joss.05687\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of open source software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21105/joss.05687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples
Chang et al., (2023). GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples. Journal of Open Source Software, 8(91), 5687, https://doi.org/10.21105/joss.05687
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