小卫星地图的对齐:基于最小生成树的方法

M. Abouelhoda, R. Giegerich, B. Behzadi, J. Steyaert
{"title":"小卫星地图的对齐:基于最小生成树的方法","authors":"M. Abouelhoda, R. Giegerich, B. Behzadi, J. Steyaert","doi":"10.1142/9781848161092_0028","DOIUrl":null,"url":null,"abstract":"In addition to the well-known edit operations, the alignment of minisatellite maps includes duplication events. We model these duplications using a special kind of spanning trees and deduce an optimal duplication scenario by computing the respective minimum spanning tree. Based on best duplication scenarios for all substrings of the given sequences, we compute an optimal alignment of two minisatellite maps. Our algorithm improves upon the previously developed algorithms in the generality of the model, in alignment quality and in space-time efficiency. Using this algorithm, we derive evidence that there is a directional bias in the growth of minisatellites of the MSY1 dataset.","PeriodicalId":74513,"journal":{"name":"Proceedings of the ... Asia-Pacific bioinformatics conference","volume":"88 1","pages":"261-272"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Alignment of Minisatellite Maps: A Minimum Spanning Tree-based Approach\",\"authors\":\"M. Abouelhoda, R. Giegerich, B. Behzadi, J. Steyaert\",\"doi\":\"10.1142/9781848161092_0028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In addition to the well-known edit operations, the alignment of minisatellite maps includes duplication events. We model these duplications using a special kind of spanning trees and deduce an optimal duplication scenario by computing the respective minimum spanning tree. Based on best duplication scenarios for all substrings of the given sequences, we compute an optimal alignment of two minisatellite maps. Our algorithm improves upon the previously developed algorithms in the generality of the model, in alignment quality and in space-time efficiency. Using this algorithm, we derive evidence that there is a directional bias in the growth of minisatellites of the MSY1 dataset.\",\"PeriodicalId\":74513,\"journal\":{\"name\":\"Proceedings of the ... Asia-Pacific bioinformatics conference\",\"volume\":\"88 1\",\"pages\":\"261-272\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... Asia-Pacific bioinformatics conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/9781848161092_0028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... Asia-Pacific bioinformatics conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9781848161092_0028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

除了众所周知的编辑操作外,小卫星地图的对齐还包括复制事件。我们使用一种特殊的生成树对这些复制进行建模,并通过计算各自的最小生成树来推断出最优的复制场景。基于给定序列的所有子串的最佳复制场景,我们计算了两个小卫星图的最优对齐。该算法在模型通用性、对齐质量和时空效率等方面都有较好的改进。利用该算法,我们得出了MSY1数据集的小卫星生长存在方向性偏差的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Alignment of Minisatellite Maps: A Minimum Spanning Tree-based Approach
In addition to the well-known edit operations, the alignment of minisatellite maps includes duplication events. We model these duplications using a special kind of spanning trees and deduce an optimal duplication scenario by computing the respective minimum spanning tree. Based on best duplication scenarios for all substrings of the given sequences, we compute an optimal alignment of two minisatellite maps. Our algorithm improves upon the previously developed algorithms in the generality of the model, in alignment quality and in space-time efficiency. Using this algorithm, we derive evidence that there is a directional bias in the growth of minisatellites of the MSY1 dataset.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Tuning Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding. The Future of Bioinformatics CHEMICAL COMPOUND CLASSIFICATION WITH AUTOMATICALLY MINED STRUCTURE PATTERNS. Predicting Nucleolar Proteins Using Support-Vector Machines Proceedings of the 6th Asia-Pacific Bioinformatics Conference, APBC 2008, 14-17 January 2008, Kyoto, Japan
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1