F. Legeai, Susete Alves‐Carvalho, Kévin Gazengel, A. Bretaudeau, S. Robin, S. Daval
{"title":"一个简单的RNASeq数据分析的R包","authors":"F. Legeai, Susete Alves‐Carvalho, Kévin Gazengel, A. Bretaudeau, S. Robin, S. Daval","doi":"10.3390/iece-10646","DOIUrl":null,"url":null,"abstract":": For facilitating the process of transcriptomics data, and to guarantee the reproducibility of our analyses, we developed AskoR, which is a R library for performing a suite of statistical analysis and graphical output from gene expression data obtained by sequencing (RNA-Seq). From raw counts, it makes it possible to filter and normalize the data, to check the consistency of the samples, and to carry out differential expression tests, GO terms enrichments, and clusters of co-expression, with a large number of figures in the output. AskoR can be downloaded and used in your favorite R environment or directly accessible through a Galaxy portal like the one which is hosted by the BioInformatics Platform for the Agroecosystems Arthropods (BIPAA).","PeriodicalId":109312,"journal":{"name":"Proceedings of The 1st International Electronic Conference on Entomology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"AskoR, A R Package for Easy RNASeq Data Analysis\",\"authors\":\"F. Legeai, Susete Alves‐Carvalho, Kévin Gazengel, A. Bretaudeau, S. Robin, S. Daval\",\"doi\":\"10.3390/iece-10646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": For facilitating the process of transcriptomics data, and to guarantee the reproducibility of our analyses, we developed AskoR, which is a R library for performing a suite of statistical analysis and graphical output from gene expression data obtained by sequencing (RNA-Seq). From raw counts, it makes it possible to filter and normalize the data, to check the consistency of the samples, and to carry out differential expression tests, GO terms enrichments, and clusters of co-expression, with a large number of figures in the output. AskoR can be downloaded and used in your favorite R environment or directly accessible through a Galaxy portal like the one which is hosted by the BioInformatics Platform for the Agroecosystems Arthropods (BIPAA).\",\"PeriodicalId\":109312,\"journal\":{\"name\":\"Proceedings of The 1st International Electronic Conference on Entomology\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 1st International Electronic Conference on Entomology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/iece-10646\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 1st International Electronic Conference on Entomology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/iece-10646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
: For facilitating the process of transcriptomics data, and to guarantee the reproducibility of our analyses, we developed AskoR, which is a R library for performing a suite of statistical analysis and graphical output from gene expression data obtained by sequencing (RNA-Seq). From raw counts, it makes it possible to filter and normalize the data, to check the consistency of the samples, and to carry out differential expression tests, GO terms enrichments, and clusters of co-expression, with a large number of figures in the output. AskoR can be downloaded and used in your favorite R environment or directly accessible through a Galaxy portal like the one which is hosted by the BioInformatics Platform for the Agroecosystems Arthropods (BIPAA).