{"title":"高阶种子模式的运行概率及其在寻找好的过渡种子中的应用","authors":"Jialiang Yang, Louxin Zhang","doi":"10.1142/9781848161092_0015","DOIUrl":null,"url":null,"abstract":"Transition seeds exhibit a good tradeofi between sensitivity and speciflcity for homology search in both coding and non-coding regions. But, identifying good transition seeds is extremely hard. We study the hit probability of high-order seed patterns. Based on our theoretical results, we propose an e‐cient method for ranking transition seeds for seed design.","PeriodicalId":74513,"journal":{"name":"Proceedings of the ... Asia-Pacific bioinformatics conference","volume":"57 1","pages":"123-132"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Run Probability of High-Order Seed Patterns and its Applications to Finding Good Transition Seeds\",\"authors\":\"Jialiang Yang, Louxin Zhang\",\"doi\":\"10.1142/9781848161092_0015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transition seeds exhibit a good tradeofi between sensitivity and speciflcity for homology search in both coding and non-coding regions. But, identifying good transition seeds is extremely hard. We study the hit probability of high-order seed patterns. Based on our theoretical results, we propose an e‐cient method for ranking transition seeds for seed design.\",\"PeriodicalId\":74513,\"journal\":{\"name\":\"Proceedings of the ... Asia-Pacific bioinformatics conference\",\"volume\":\"57 1\",\"pages\":\"123-132\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... Asia-Pacific bioinformatics conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/9781848161092_0015\",\"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 ... Asia-Pacific bioinformatics conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9781848161092_0015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Run Probability of High-Order Seed Patterns and its Applications to Finding Good Transition Seeds
Transition seeds exhibit a good tradeofi between sensitivity and speciflcity for homology search in both coding and non-coding regions. But, identifying good transition seeds is extremely hard. We study the hit probability of high-order seed patterns. Based on our theoretical results, we propose an e‐cient method for ranking transition seeds for seed design.
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