{"title":"基于小波的基因组序列短串联重复区域识别","authors":"Mamta C. Padole","doi":"10.1109/MCSI.2014.50","DOIUrl":null,"url":null,"abstract":"Short Tandem Repeats (STRs) in DNA sequences are associated with regulatory mechanisms. Existing tools for recognizing STRs, involve computational intensive string processing methods expecting parameters like pattern, pattern size or reference. This paper proposes ab initio, signal processing approach involving Wavelet Transformations, for detecting perfect, imperfect and interrupted STR regions.","PeriodicalId":202841,"journal":{"name":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Recognizing Short Tandem Repeat Regions in Genomic Sequences Using Wavelet\",\"authors\":\"Mamta C. Padole\",\"doi\":\"10.1109/MCSI.2014.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Short Tandem Repeats (STRs) in DNA sequences are associated with regulatory mechanisms. Existing tools for recognizing STRs, involve computational intensive string processing methods expecting parameters like pattern, pattern size or reference. This paper proposes ab initio, signal processing approach involving Wavelet Transformations, for detecting perfect, imperfect and interrupted STR regions.\",\"PeriodicalId\":202841,\"journal\":{\"name\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCSI.2014.50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSI.2014.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognizing Short Tandem Repeat Regions in Genomic Sequences Using Wavelet
Short Tandem Repeats (STRs) in DNA sequences are associated with regulatory mechanisms. Existing tools for recognizing STRs, involve computational intensive string processing methods expecting parameters like pattern, pattern size or reference. This paper proposes ab initio, signal processing approach involving Wavelet Transformations, for detecting perfect, imperfect and interrupted STR regions.