{"title":"10个细胞内景观的信封背面指南(教程)","authors":"M. Ling","doi":"10.15406/mojpb.2018.07.00209","DOIUrl":null,"url":null,"abstract":"Submit Manuscript | http://medcraveonline.com biological entity, such as a chromosome (Figure 1). In a linear biological entity, such as a chromosome; the biological entity is represented on the horizontal axis and the score, such as GC content, is represented on the vertical axis. This result in a line graph representing the GC content across the entire chromosome, which can then be used to identify GC content fluctuations across a chromosome [2].","PeriodicalId":18585,"journal":{"name":"MOJ proteomics & bioinformatics","volume":"44 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Back-of-the-envelope guide (a tutorial) to 10 intracellular landscapes\",\"authors\":\"M. Ling\",\"doi\":\"10.15406/mojpb.2018.07.00209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Submit Manuscript | http://medcraveonline.com biological entity, such as a chromosome (Figure 1). In a linear biological entity, such as a chromosome; the biological entity is represented on the horizontal axis and the score, such as GC content, is represented on the vertical axis. This result in a line graph representing the GC content across the entire chromosome, which can then be used to identify GC content fluctuations across a chromosome [2].\",\"PeriodicalId\":18585,\"journal\":{\"name\":\"MOJ proteomics & bioinformatics\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MOJ proteomics & bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15406/mojpb.2018.07.00209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MOJ proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/mojpb.2018.07.00209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Back-of-the-envelope guide (a tutorial) to 10 intracellular landscapes
Submit Manuscript | http://medcraveonline.com biological entity, such as a chromosome (Figure 1). In a linear biological entity, such as a chromosome; the biological entity is represented on the horizontal axis and the score, such as GC content, is represented on the vertical axis. This result in a line graph representing the GC content across the entire chromosome, which can then be used to identify GC content fluctuations across a chromosome [2].