{"title":"利用协方差模型对全基因组中的rna进行注释。","authors":"Paul P Gardner","doi":"10.1093/bfgp/elp042","DOIUrl":null,"url":null,"abstract":"<p><p>In this review we discuss bioinformatic issues in non-coding RNA analysis, in particular the annotation of genome sequences using covariance models. Some recent innovations for improving the speed and accuracy of covariance models is discussed.</p>","PeriodicalId":87063,"journal":{"name":"Briefings in functional genomics & proteomics","volume":"8 6","pages":"444-50"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/bfgp/elp042","citationCount":"24","resultStr":"{\"title\":\"The use of covariance models to annotate RNAs in whole genomes.\",\"authors\":\"Paul P Gardner\",\"doi\":\"10.1093/bfgp/elp042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this review we discuss bioinformatic issues in non-coding RNA analysis, in particular the annotation of genome sequences using covariance models. Some recent innovations for improving the speed and accuracy of covariance models is discussed.</p>\",\"PeriodicalId\":87063,\"journal\":{\"name\":\"Briefings in functional genomics & proteomics\",\"volume\":\"8 6\",\"pages\":\"444-50\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/bfgp/elp042\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Briefings in functional genomics & proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/bfgp/elp042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Briefings in functional genomics & proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bfgp/elp042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The use of covariance models to annotate RNAs in whole genomes.
In this review we discuss bioinformatic issues in non-coding RNA analysis, in particular the annotation of genome sequences using covariance models. Some recent innovations for improving the speed and accuracy of covariance models is discussed.