共享基因组学:为全基因组关联研究开发一个可访问的集成分析平台。

David Hoyle, Mark Delderfield, Lee Kitching, Gareth Smith, Iain Buchan
{"title":"共享基因组学:为全基因组关联研究开发一个可访问的集成分析平台。","authors":"David Hoyle,&nbsp;Mark Delderfield,&nbsp;Lee Kitching,&nbsp;Gareth Smith,&nbsp;Iain Buchan","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Increasingly, genome-wide association studies are being used to identify positions within the human genome that have a link with a disease condition. The number of genomic locations studied means that computationally intensive and bioinformatic intensive solutions will have to be used in the analysis of these data sets. In this paper we present an integrated Workbench that provides user-friendly access to parallelized statistical genetics analysis codes for clinical researchers. In addition we biologically annotate statistical analysis results through the reuse of existing bionformatic Taverna workflows.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2010 ","pages":"18-22"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041536/pdf/","citationCount":"0","resultStr":"{\"title\":\"Shared Genomics: Developing an accessible integrated analysis platform for Genome-Wide Association Studies.\",\"authors\":\"David Hoyle,&nbsp;Mark Delderfield,&nbsp;Lee Kitching,&nbsp;Gareth Smith,&nbsp;Iain Buchan\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Increasingly, genome-wide association studies are being used to identify positions within the human genome that have a link with a disease condition. The number of genomic locations studied means that computationally intensive and bioinformatic intensive solutions will have to be used in the analysis of these data sets. In this paper we present an integrated Workbench that provides user-friendly access to parallelized statistical genetics analysis codes for clinical researchers. In addition we biologically annotate statistical analysis results through the reuse of existing bionformatic Taverna workflows.</p>\",\"PeriodicalId\":89276,\"journal\":{\"name\":\"Summit on translational bioinformatics\",\"volume\":\"2010 \",\"pages\":\"18-22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041536/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Summit on translational bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Summit on translational bioinformatics","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

越来越多的全基因组关联研究被用于确定人类基因组中与疾病状况有联系的位置。所研究的基因组位置的数量意味着必须使用计算密集型和生物信息学密集型的解决方案来分析这些数据集。在本文中,我们提出了一个集成的工作台,为临床研究人员提供用户友好的访问并行统计遗传学分析代码。此外,我们通过重用现有的生物构象Taverna工作流程对统计分析结果进行生物注释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Shared Genomics: Developing an accessible integrated analysis platform for Genome-Wide Association Studies.

Shared Genomics: Developing an accessible integrated analysis platform for Genome-Wide Association Studies.

Shared Genomics: Developing an accessible integrated analysis platform for Genome-Wide Association Studies.

Shared Genomics: Developing an accessible integrated analysis platform for Genome-Wide Association Studies.

Increasingly, genome-wide association studies are being used to identify positions within the human genome that have a link with a disease condition. The number of genomic locations studied means that computationally intensive and bioinformatic intensive solutions will have to be used in the analysis of these data sets. In this paper we present an integrated Workbench that provides user-friendly access to parallelized statistical genetics analysis codes for clinical researchers. In addition we biologically annotate statistical analysis results through the reuse of existing bionformatic Taverna workflows.

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
×
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:481959085
Book学术官方微信