Efficient filtering algorithm for detection of genetic similarity between large genomic datasets

Viachaslau Tsyvina, David S. Campo, Seth Sims, A. Zelikovsky, Y. Khudyakov, P. Skums
{"title":"Efficient filtering algorithm for detection of genetic similarity between large genomic datasets","authors":"Viachaslau Tsyvina, David S. Campo, Seth Sims, A. Zelikovsky, Y. Khudyakov, P. Skums","doi":"10.1109/ICCABS.2017.8114318","DOIUrl":null,"url":null,"abstract":"Many biological analysis techniques require measurement of similarity between sequences from large genomic datasets, which often involves extraction of all pairs of close DNA or RNA sequences. We present a k-mer-based tool to efficiently perform such sequence similarity queries for large viral datasets produced by next-generation sequencing.","PeriodicalId":89933,"journal":{"name":"IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences","volume":"23 1","pages":"1"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCABS.2017.8114318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Many biological analysis techniques require measurement of similarity between sequences from large genomic datasets, which often involves extraction of all pairs of close DNA or RNA sequences. We present a k-mer-based tool to efficiently perform such sequence similarity queries for large viral datasets produced by next-generation sequencing.
大型基因组数据集间遗传相似性检测的高效过滤算法
许多生物分析技术需要测量来自大型基因组数据集的序列之间的相似性,这通常涉及提取所有对接近的DNA或RNA序列。我们提出了一个基于k-mer的工具,可以有效地对下一代测序产生的大型病毒数据集进行序列相似性查询。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信