{"title":"DNA序列扫描的Smith-Waterman算法在VLSI中的高速实现","authors":"Chao Cheng, K. Parhi","doi":"10.1109/ACSSC.2008.5074677","DOIUrl":null,"url":null,"abstract":"In this paper, a novel pipelined algorithm is applied in the hardware implementation of Smith-Waterman algorithm. The proposed algorithm can cut down the computation time from O(m+n) to O(m+n/J), where J is the pipeline level, m and n are the lengths of the query sequence and subject sequence respectively. It's obvious that if the length of subject sequence is much larger than the query sequence, i.e., n>>m, the computation of scanning protein sequences will be speeded up by a factor of J.","PeriodicalId":416114,"journal":{"name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"High-speed implementation of Smith-Waterman algorithm for DNA sequence scanning in VLSI\",\"authors\":\"Chao Cheng, K. Parhi\",\"doi\":\"10.1109/ACSSC.2008.5074677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel pipelined algorithm is applied in the hardware implementation of Smith-Waterman algorithm. The proposed algorithm can cut down the computation time from O(m+n) to O(m+n/J), where J is the pipeline level, m and n are the lengths of the query sequence and subject sequence respectively. It's obvious that if the length of subject sequence is much larger than the query sequence, i.e., n>>m, the computation of scanning protein sequences will be speeded up by a factor of J.\",\"PeriodicalId\":416114,\"journal\":{\"name\":\"2008 42nd Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 42nd Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2008.5074677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 42nd Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2008.5074677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-speed implementation of Smith-Waterman algorithm for DNA sequence scanning in VLSI
In this paper, a novel pipelined algorithm is applied in the hardware implementation of Smith-Waterman algorithm. The proposed algorithm can cut down the computation time from O(m+n) to O(m+n/J), where J is the pipeline level, m and n are the lengths of the query sequence and subject sequence respectively. It's obvious that if the length of subject sequence is much larger than the query sequence, i.e., n>>m, the computation of scanning protein sequences will be speeded up by a factor of J.