{"title":"DNA序列的Connex阵列局部比对","authors":"D. Thiébaut, G. Stefan, M. Malita","doi":"10.1109/ICCGI.2006.66","DOIUrl":null,"url":null,"abstract":"This paper presents a heuristic for finding close to optimal solutions to the local alignment problem of two DNA sequences, and more precisely to the gene prediction problem on the Connex Array circuit, a new hierarchical parallel in-memory device. Though not optimal, the solutions generated by our algorithm compare well with those generated by other algorithms in the public domain. When aligning a probe of N symbols to a target of M symbols, the algorithm has a theoretical time complexity of O(N log(N)), with a small constant of proportionality, and requires no preprocessing of the data. However, experimental results exhibit quasi-linear time complexity","PeriodicalId":112974,"journal":{"name":"2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06)","volume":"13 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Local Alignments of DNA Sequences with the Connex Array\",\"authors\":\"D. Thiébaut, G. Stefan, M. Malita\",\"doi\":\"10.1109/ICCGI.2006.66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a heuristic for finding close to optimal solutions to the local alignment problem of two DNA sequences, and more precisely to the gene prediction problem on the Connex Array circuit, a new hierarchical parallel in-memory device. Though not optimal, the solutions generated by our algorithm compare well with those generated by other algorithms in the public domain. When aligning a probe of N symbols to a target of M symbols, the algorithm has a theoretical time complexity of O(N log(N)), with a small constant of proportionality, and requires no preprocessing of the data. However, experimental results exhibit quasi-linear time complexity\",\"PeriodicalId\":112974,\"journal\":{\"name\":\"2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06)\",\"volume\":\"13 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCGI.2006.66\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCGI.2006.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Local Alignments of DNA Sequences with the Connex Array
This paper presents a heuristic for finding close to optimal solutions to the local alignment problem of two DNA sequences, and more precisely to the gene prediction problem on the Connex Array circuit, a new hierarchical parallel in-memory device. Though not optimal, the solutions generated by our algorithm compare well with those generated by other algorithms in the public domain. When aligning a probe of N symbols to a target of M symbols, the algorithm has a theoretical time complexity of O(N log(N)), with a small constant of proportionality, and requires no preprocessing of the data. However, experimental results exhibit quasi-linear time complexity