{"title":"readfcs:读取FCS文件","authors":"Sunny Sun, A. Wolf","doi":"10.56528/rfcs","DOIUrl":null,"url":null,"abstract":"readfcs loads data and metadata from Flow Cytometry Standard (FCS) files efficiently into general DataFrame and AnnData objects. Existing tools, by contrast, provide FCS parsers and data structures for specific downstream applications. readfcs allows to flexibly access data and metadata slots and offers a robust, tested implementation.","PeriodicalId":149609,"journal":{"name":"Lamin Reports","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"readfcs: Read FCS files\",\"authors\":\"Sunny Sun, A. Wolf\",\"doi\":\"10.56528/rfcs\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"readfcs loads data and metadata from Flow Cytometry Standard (FCS) files efficiently into general DataFrame and AnnData objects. Existing tools, by contrast, provide FCS parsers and data structures for specific downstream applications. readfcs allows to flexibly access data and metadata slots and offers a robust, tested implementation.\",\"PeriodicalId\":149609,\"journal\":{\"name\":\"Lamin Reports\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lamin Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56528/rfcs\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lamin Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56528/rfcs","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
readfcs loads data and metadata from Flow Cytometry Standard (FCS) files efficiently into general DataFrame and AnnData objects. Existing tools, by contrast, provide FCS parsers and data structures for specific downstream applications. readfcs allows to flexibly access data and metadata slots and offers a robust, tested implementation.
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