{"title":"全对全序列匹配的平均快速算法","authors":"Ricardo Baeza-Yates, G. Gonnet","doi":"10.1109/SPIRE.1999.796573","DOIUrl":null,"url":null,"abstract":"We present an algorithm which attempts to align pairs of subsequences from a database of genetic sequences. The algorithm simulates the classical dynamic programming alignment algorithm over a suffix array of the database. We provide a detailed average case analysis which shows that the running time of the algorithm is subquadratic with respect to the database size. A similar algorithm solves the approximate string matching problem in sublinear average time.","PeriodicalId":131279,"journal":{"name":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"A fast algorithm on average for all-against-all sequence matching\",\"authors\":\"Ricardo Baeza-Yates, G. Gonnet\",\"doi\":\"10.1109/SPIRE.1999.796573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an algorithm which attempts to align pairs of subsequences from a database of genetic sequences. The algorithm simulates the classical dynamic programming alignment algorithm over a suffix array of the database. We provide a detailed average case analysis which shows that the running time of the algorithm is subquadratic with respect to the database size. A similar algorithm solves the approximate string matching problem in sublinear average time.\",\"PeriodicalId\":131279,\"journal\":{\"name\":\"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIRE.1999.796573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIRE.1999.796573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast algorithm on average for all-against-all sequence matching
We present an algorithm which attempts to align pairs of subsequences from a database of genetic sequences. The algorithm simulates the classical dynamic programming alignment algorithm over a suffix array of the database. We provide a detailed average case analysis which shows that the running time of the algorithm is subquadratic with respect to the database size. A similar algorithm solves the approximate string matching problem in sublinear average time.