{"title":"一个优化的多序列比对系统","authors":"M. Gok","doi":"10.1109/RECONFIG.2009.82","DOIUrl":null,"url":null,"abstract":"Multiple sequence alignment (MSA) is one of the essential operations for identifying functional and structural relations among proteins. The execution of an MSA algorithm requires high-performance platforms. This paper presents a hardware system that speeds up the popular MSA software ClustalW. The proposed design performs the computation of the most time consuming step of the ClustalW. Test results show that the proposed hardware increases the performance of this step up to 85 times.","PeriodicalId":325631,"journal":{"name":"2009 International Conference on Reconfigurable Computing and FPGAs","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Optimized System for Multiple Sequence Alignment\",\"authors\":\"M. Gok\",\"doi\":\"10.1109/RECONFIG.2009.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple sequence alignment (MSA) is one of the essential operations for identifying functional and structural relations among proteins. The execution of an MSA algorithm requires high-performance platforms. This paper presents a hardware system that speeds up the popular MSA software ClustalW. The proposed design performs the computation of the most time consuming step of the ClustalW. Test results show that the proposed hardware increases the performance of this step up to 85 times.\",\"PeriodicalId\":325631,\"journal\":{\"name\":\"2009 International Conference on Reconfigurable Computing and FPGAs\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Reconfigurable Computing and FPGAs\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RECONFIG.2009.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Reconfigurable Computing and FPGAs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RECONFIG.2009.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimized System for Multiple Sequence Alignment
Multiple sequence alignment (MSA) is one of the essential operations for identifying functional and structural relations among proteins. The execution of an MSA algorithm requires high-performance platforms. This paper presents a hardware system that speeds up the popular MSA software ClustalW. The proposed design performs the computation of the most time consuming step of the ClustalW. Test results show that the proposed hardware increases the performance of this step up to 85 times.
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