LocusTrack: Integrated visualization of GWAS results and genomic annotation.

Q2 Decision Sciences Source Code for Biology and Medicine Pub Date : 2015-02-03 eCollection Date: 2015-01-01 DOI:10.1186/s13029-015-0032-8
Gabriel Cuellar-Partida, Miguel E Renteria, Stuart MacGregor
{"title":"LocusTrack: Integrated visualization of GWAS results and genomic annotation.","authors":"Gabriel Cuellar-Partida,&nbsp;Miguel E Renteria,&nbsp;Stuart MacGregor","doi":"10.1186/s13029-015-0032-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and diseases. Visual inspection of genomic annotations may be used to generate insights into the biological mechanisms underlying GWAS-identified loci.</p><p><strong>Results: </strong>We developed LocusTrack, a web-based application that annotates and creates plots of regional GWAS results and incorporates user-specified tracks that display annotations such as linkage disequilibrium (LD), phylogenetic conservation, chromatin state, and other genomic and regulatory elements. Currently, LocusTrack can integrate annotation tracks from the UCSC genome-browser as well as from any tracks provided by the user.</p><p><strong>Conclusion: </strong>LocusTrack is an easy-to-use application and can be accessed at the following URL: http://gump.qimr.edu.au/general/gabrieC/LocusTrack/. Users can upload and manage GWAS results and select from and/or provide annotation tracks using simple and intuitive menus. LocusTrack scripts and associated data can be downloaded from the website and run locally.</p>","PeriodicalId":35052,"journal":{"name":"Source Code for Biology and Medicine","volume":"10 ","pages":"1"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13029-015-0032-8","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Source Code for Biology and Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13029-015-0032-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2015/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 31

Abstract

Background: Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and diseases. Visual inspection of genomic annotations may be used to generate insights into the biological mechanisms underlying GWAS-identified loci.

Results: We developed LocusTrack, a web-based application that annotates and creates plots of regional GWAS results and incorporates user-specified tracks that display annotations such as linkage disequilibrium (LD), phylogenetic conservation, chromatin state, and other genomic and regulatory elements. Currently, LocusTrack can integrate annotation tracks from the UCSC genome-browser as well as from any tracks provided by the user.

Conclusion: LocusTrack is an easy-to-use application and can be accessed at the following URL: http://gump.qimr.edu.au/general/gabrieC/LocusTrack/. Users can upload and manage GWAS results and select from and/or provide annotation tracks using simple and intuitive menus. LocusTrack scripts and associated data can be downloaded from the website and run locally.

Abstract Image

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
locstrack: GWAS结果和基因组注释的集成可视化。
背景:全基因组关联研究(GWAS)是复杂性状和疾病定位的重要工具。基因组注释的目视检查可用于深入了解gwas鉴定位点的生物学机制。结果:我们开发了基于web的locstrack应用程序,该应用程序注释和创建区域GWAS结果图,并包含用户指定的轨迹,显示诸如连锁不平衡(LD),系统发育保守,染色质状态以及其他基因组和调控元件的注释。目前,locstrack可以集成来自UCSC基因组浏览器的注释轨道以及来自用户提供的任何轨道。结论:locstrack是一个易于使用的应用程序,可以通过以下URL访问:http://gump.qimr.edu.au/general/gabrieC/LocusTrack/。用户可以上传和管理GWAS结果,并使用简单直观的菜单选择和/或提供注释轨道。可以从网站下载LocusTrack脚本和相关数据并在本地运行。
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
Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
自引率
0.00%
发文量
0
期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
期刊最新文献
2DKD: a toolkit for content-based local image search. Computing and graphing probability values of pearson distributions: a SAS/IML macro. iPBAvizu: a PyMOL plugin for an efficient 3D protein structure superimposition approach Social support for collaboration and group awareness in life science research teams. MZPAQ: a FASTQ data compression tool.
×
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