{"title":"计算MPI集群上所有最长公共子序列","authors":"Jinxian Lin, Yiqing Lv","doi":"10.1109/CINC.2010.5643814","DOIUrl":null,"url":null,"abstract":"Finding out the longest common subsequences (LCS) is one of the most important problems of Bioengineering. But there is still not excellent algorithm for computing all of the longest common subsequences (ALCS). An existing fast algorithm for LCS was studied and improved in this paper. We combined the algorithm with MPI cluster and computed all the longest common subsequences of two random generate gene sequences on MPI cluster. The experiment results show that computing ALCS on MPI cluster is an efficient and practicality method.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computing all longest common subsequences on MPI cluster\",\"authors\":\"Jinxian Lin, Yiqing Lv\",\"doi\":\"10.1109/CINC.2010.5643814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Finding out the longest common subsequences (LCS) is one of the most important problems of Bioengineering. But there is still not excellent algorithm for computing all of the longest common subsequences (ALCS). An existing fast algorithm for LCS was studied and improved in this paper. We combined the algorithm with MPI cluster and computed all the longest common subsequences of two random generate gene sequences on MPI cluster. The experiment results show that computing ALCS on MPI cluster is an efficient and practicality method.\",\"PeriodicalId\":227004,\"journal\":{\"name\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINC.2010.5643814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2010.5643814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computing all longest common subsequences on MPI cluster
Finding out the longest common subsequences (LCS) is one of the most important problems of Bioengineering. But there is still not excellent algorithm for computing all of the longest common subsequences (ALCS). An existing fast algorithm for LCS was studied and improved in this paper. We combined the algorithm with MPI cluster and computed all the longest common subsequences of two random generate gene sequences on MPI cluster. The experiment results show that computing ALCS on MPI cluster is an efficient and practicality method.