PolyLens: software for map-based visualisation and analysis of genome-scale polymorphism data.

Q4 Pharmacology, Toxicology and Pharmaceutics International Journal of Computational Biology and Drug Design Pub Date : 2013-01-01 Epub Date: 2013-02-21 DOI:10.1504/IJCBDD.2013.052204
Michael W Berry, Tiantian Gao, Ryhan Pathan, Gary W Stuart
{"title":"PolyLens: software for map-based visualisation and analysis of genome-scale polymorphism data.","authors":"Michael W Berry,&nbsp;Tiantian Gao,&nbsp;Ryhan Pathan,&nbsp;Gary W Stuart","doi":"10.1504/IJCBDD.2013.052204","DOIUrl":null,"url":null,"abstract":"<p><p>Software tools for the flexible examination of genomic sequence information derived from populations of organisms in a geospatial context are few in number, closely tied to Web-based resources, generally focused on one or a few loci or haplotypes, and typically produce a global phylogeny as a summary of relatedness. We sought instead to produce a portable, self-contained analysis tool that is efficiently focused on a geospatial display of specifically chosen polymorphism frequencies or combination frequencies from very large data sets of genome-scale sequence from multiple individuals. PolyLens is a Java-based, integral visual analytical toolkit which can systematically process population genomic data, visualise geographic distributions of genealogical lineages, and display allele distribution patterns. PolyLens is designed for users to visualise specific DNA sequences within each individual and its related location information in the existing data set.</p>","PeriodicalId":39227,"journal":{"name":"International Journal of Computational Biology and Drug Design","volume":" ","pages":"93-106"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJCBDD.2013.052204","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Biology and Drug Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCBDD.2013.052204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/2/21 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 2

Abstract

Software tools for the flexible examination of genomic sequence information derived from populations of organisms in a geospatial context are few in number, closely tied to Web-based resources, generally focused on one or a few loci or haplotypes, and typically produce a global phylogeny as a summary of relatedness. We sought instead to produce a portable, self-contained analysis tool that is efficiently focused on a geospatial display of specifically chosen polymorphism frequencies or combination frequencies from very large data sets of genome-scale sequence from multiple individuals. PolyLens is a Java-based, integral visual analytical toolkit which can systematically process population genomic data, visualise geographic distributions of genealogical lineages, and display allele distribution patterns. PolyLens is designed for users to visualise specific DNA sequences within each individual and its related location information in the existing data set.

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
PolyLens:基于地图的可视化和基因组规模多态性数据分析软件。
用于灵活检查来自地理空间背景下生物体种群的基因组序列信息的软件工具数量很少,与基于网络的资源密切相关,通常集中在一个或几个位点或单倍型上,并且通常产生一个全球系统发育作为亲缘关系的摘要。相反,我们寻求生产一种便携式的、独立的分析工具,该工具有效地专注于从来自多个个体的基因组规模序列的非常大的数据集中特定选择的多态性频率或组合频率的地理空间显示。PolyLens是一个基于java的整体可视化分析工具包,它可以系统地处理种群基因组数据,可视化家谱的地理分布,并显示等位基因分布模式。PolyLens是为用户在现有数据集中可视化每个人的特定DNA序列及其相关位置信息而设计的。
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
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
期刊最新文献
Assessment and Validation of Emulgel Based Salicylic acid Formulation Development to Drug release and Optimization by Statistical Design EyeRIS: Image-Based Identification of Goats using Iris Advanced DEEPCNN Breast Cancer Mammogram Image Detection and Classification with Butterfly Optimization Algorithm A Unique Noise Detector Developed for the Filtering of X-Ray Images of Bone Fractures Residue Interaction Network analysis and Molecular dynamics simulation of 6K Viroporin: Chikungunya Virus Channel Proteins
×
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