maGUI: A Graphical User Interface for Analysis and Annotation of DNA Microarray Data

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2019-06-30 DOI:10.2174/1875036201912010040
Dhammapal Bharne, P. Kant, V. Vindal
{"title":"maGUI: A Graphical User Interface for Analysis and Annotation of DNA Microarray Data","authors":"Dhammapal Bharne, P. Kant, V. Vindal","doi":"10.2174/1875036201912010040","DOIUrl":null,"url":null,"abstract":"\n \n maGUI is a graphical user interface designed to analyze microarray data produced from experiments performed on various platforms such as Affymetrix, Agilent, Illumina, and Nimblegen and so on, automatically. It follows an integrated workflow for pre-processing and analysis of the microarray data. The user may proceed from loading of microarray data to normalization, quality check, filtering, differential gene expression, principal component analysis, clustering and classification. It also provides miscellaneous applications such as gene set test and enrichment analysis for identifying gene symbols using Bioconductor packages. Further, the user can build a co-expression network for differentially expressed genes. Tables and figures generated during the analysis can be viewed and exported to local disks. The graphical user interface is very friendly especially for the biologists to perform the most microarray data analyses and annotations without much need of learning R command line programming.\n \n \n \n maGUI is an R package which can be downloaded freely from Comprehensive R Archive Network resource. It can be installed in any R environment with version 3.0.2 or above.\n","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Bioinformatics Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1875036201912010040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 2

Abstract

maGUI is a graphical user interface designed to analyze microarray data produced from experiments performed on various platforms such as Affymetrix, Agilent, Illumina, and Nimblegen and so on, automatically. It follows an integrated workflow for pre-processing and analysis of the microarray data. The user may proceed from loading of microarray data to normalization, quality check, filtering, differential gene expression, principal component analysis, clustering and classification. It also provides miscellaneous applications such as gene set test and enrichment analysis for identifying gene symbols using Bioconductor packages. Further, the user can build a co-expression network for differentially expressed genes. Tables and figures generated during the analysis can be viewed and exported to local disks. The graphical user interface is very friendly especially for the biologists to perform the most microarray data analyses and annotations without much need of learning R command line programming. maGUI is an R package which can be downloaded freely from Comprehensive R Archive Network resource. It can be installed in any R environment with version 3.0.2 or above.
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
maGUI:一个用于DNA微阵列数据分析和注释的图形用户界面
maGUI是一个图形用户界面,用于自动分析在各种平台(如Affymetrix, Agilent, Illumina和Nimblegen等)上进行的实验产生的微阵列数据。它遵循一个集成的工作流预处理和分析微阵列数据。用户可以从芯片数据的加载到归一化、质量检查、过滤、差异基因表达、主成分分析、聚类和分类。它还提供各种应用程序,如基因集测试和富集分析,以识别基因符号使用Bioconductor包。此外,用户可以为差异表达的基因建立一个共表达网络。分析过程中生成的表格和图表可以查看并导出到本地硬盘。图形用户界面非常友好,特别适合生物学家执行大多数微阵列数据分析和注释,而不需要学习R命令行编程。maGUI是一个R软件包,可以从综合R档案网络资源免费下载。它可以安装在任何3.0.2或更高版本的R环境中。
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
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
期刊最新文献
Decision-making Support System for Predicting and Eliminating Malnutrition and Anemia Immunoinformatics Approach for the Design of Chimeric Vaccine Against Whitmore Disease A New Deep Learning Model based on Neuroimaging for Predicting Alzheimer's Disease Early Prediction of Covid-19 Samples from Chest X-ray Images using Deep Learning Approach Electronic Health Record (EHR) System Development for Study on EHR Data-based Early Prediction of Diabetes Using Machine Learning Algorithms
×
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