{"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}
引用次数: 0
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
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