{"title":"用统一格式和基因率分析群体遗传学中存在歧义的数据","authors":"J. M. Nunes","doi":"10.4137/EBO.S32415","DOIUrl":null,"url":null,"abstract":"Some genetic systems frequently present ambiguous data that cannot be straightforwardly analyzed with common methods of population genetics. Two possibilities arise to analyze such data: one is the arbitrary simplification of the data and the other is the development of methods adapted to such ambiguous data. In this article, we present an attempt at such a development, the UNIFORMAT grammar and the GENEE[RATE] tools, highlighting the specific aspects and the adaptations required to analyze ambiguous nominal data in population genetics.","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"41","resultStr":"{\"title\":\"Using uniformat and gene[rate] to Analyze Data with Ambiguities in Population Genetics\",\"authors\":\"J. M. Nunes\",\"doi\":\"10.4137/EBO.S32415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some genetic systems frequently present ambiguous data that cannot be straightforwardly analyzed with common methods of population genetics. Two possibilities arise to analyze such data: one is the arbitrary simplification of the data and the other is the development of methods adapted to such ambiguous data. In this article, we present an attempt at such a development, the UNIFORMAT grammar and the GENEE[RATE] tools, highlighting the specific aspects and the adaptations required to analyze ambiguous nominal data in population genetics.\",\"PeriodicalId\":136690,\"journal\":{\"name\":\"Evolutionary Bioinformatics Online\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"41\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evolutionary Bioinformatics Online\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4137/EBO.S32415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolutionary Bioinformatics Online","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4137/EBO.S32415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using uniformat and gene[rate] to Analyze Data with Ambiguities in Population Genetics
Some genetic systems frequently present ambiguous data that cannot be straightforwardly analyzed with common methods of population genetics. Two possibilities arise to analyze such data: one is the arbitrary simplification of the data and the other is the development of methods adapted to such ambiguous data. In this article, we present an attempt at such a development, the UNIFORMAT grammar and the GENEE[RATE] tools, highlighting the specific aspects and the adaptations required to analyze ambiguous nominal data in population genetics.
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