Trim Distance between Positions in Nucleotide Sequences for Structural Proteins of SARS-CoV-2

Kan Yonashiro, K. Hirata
{"title":"Trim Distance between Positions in Nucleotide Sequences for Structural Proteins of SARS-CoV-2","authors":"Kan Yonashiro, K. Hirata","doi":"10.1109/iiai-aai53430.2021.00006","DOIUrl":null,"url":null,"abstract":"A trim distance between two positions in the set of nucleotide sequences is a tree-based distance between the trimmed phylogenetic trees at two positions, each of which is obtained by applying the label-based closest-neighbor trimming method to the relabeled phylogenetic tree at the position that the index as a label of leaves is relabeled to the nucleotide occurring at the position. In this paper, as a tree-based distance, we adopt a label histogram distance and a depth histogram distance. Then, we introduce new trim distances that a label trim distance and a depth trim distance, respectively. Finally, by using the nucleotide sequences and the reconstructed phylogenetic tree from them provided from NCBI, we investigate the trim distances between the positions in the nucleotide sequences for structural proteins of spike, envelope, membrane and nucleocapsid proteins of SARS-CoV-2.","PeriodicalId":414070,"journal":{"name":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iiai-aai53430.2021.00006","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

A trim distance between two positions in the set of nucleotide sequences is a tree-based distance between the trimmed phylogenetic trees at two positions, each of which is obtained by applying the label-based closest-neighbor trimming method to the relabeled phylogenetic tree at the position that the index as a label of leaves is relabeled to the nucleotide occurring at the position. In this paper, as a tree-based distance, we adopt a label histogram distance and a depth histogram distance. Then, we introduce new trim distances that a label trim distance and a depth trim distance, respectively. Finally, by using the nucleotide sequences and the reconstructed phylogenetic tree from them provided from NCBI, we investigate the trim distances between the positions in the nucleotide sequences for structural proteins of spike, envelope, membrane and nucleocapsid proteins of SARS-CoV-2.
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
SARS-CoV-2结构蛋白核苷酸序列的位置修剪距离
核苷酸序列集中两个位置之间的修剪距离是修剪后的系统发育树在两个位置之间的基于树的距离,每个位置都是通过将索引作为叶子的标签重新标记为该位置发生的核苷酸的位置上的重新标记的系统发育树应用基于标签的最近邻修剪方法获得的。在本文中,作为基于树的距离,我们采用标签直方图距离和深度直方图距离。然后,我们引入新的修剪距离,分别是标签修剪距离和深度修剪距离。最后,利用NCBI提供的核酸序列和重建的系统发育树,研究了SARS-CoV-2的刺突蛋白、包膜蛋白、膜蛋白和核衣壳蛋白的结构蛋白在核苷酸序列中位置的修剪距离。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An analysis of preferences of convention attendees in the time of Covid-19 pandemic Visual Effects for Real Time Ocean Water Rendering Analysis of commands of Telnet logs illegally connected to IoT devices Design, modeling and parameters identification of rotary-type double inverted pendulum An Improved NSGA-II for Service Provider Composition in Knowledge-Intensive Crowdsourcing
×
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