CAT PETR: a graphical user interface for differential analysis of phosphorylation and expression data.

IF 0.9 4区 数学 Q3 Mathematics Statistical Applications in Genetics and Molecular Biology Pub Date : 2023-08-21 eCollection Date: 2023-01-01 DOI:10.1515/sagmb-2023-0017
Keegan Flanagan, Steven Pelech, Yossef Av-Gay, Khanh Dao Duc
{"title":"CAT PETR: a graphical user interface for differential analysis of phosphorylation and expression data.","authors":"Keegan Flanagan, Steven Pelech, Yossef Av-Gay, Khanh Dao Duc","doi":"10.1515/sagmb-2023-0017","DOIUrl":null,"url":null,"abstract":"<p><p>Antibody microarray data provides a powerful and high-throughput tool to monitor global changes in cellular response to perturbation or genetic manipulation. However, while collecting such data has become increasingly accessible, a lack of specific computational tools has made their analysis limited. Here we present CAT PETR, a user friendly web application for the differential analysis of expression and phosphorylation data collected via antibody microarrays. Our application addresses the limitations of other GUI based tools by providing various data input options and visualizations. To illustrate its capabilities on real data, we show that CAT PETR both replicates previous findings, and reveals additional insights, using its advanced visualization and statistical options.</p>","PeriodicalId":49477,"journal":{"name":"Statistical Applications in Genetics and Molecular Biology","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Applications in Genetics and Molecular Biology","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1515/sagmb-2023-0017","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Antibody microarray data provides a powerful and high-throughput tool to monitor global changes in cellular response to perturbation or genetic manipulation. However, while collecting such data has become increasingly accessible, a lack of specific computational tools has made their analysis limited. Here we present CAT PETR, a user friendly web application for the differential analysis of expression and phosphorylation data collected via antibody microarrays. Our application addresses the limitations of other GUI based tools by providing various data input options and visualizations. To illustrate its capabilities on real data, we show that CAT PETR both replicates previous findings, and reveals additional insights, using its advanced visualization and statistical options.

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
CAT PETR:用于磷酸化和表达数据差异分析的图形用户界面。
抗体微阵列数据提供了一种强大的高通量工具,可用于监测细胞对扰动或遗传操作反应的整体变化。然而,虽然收集此类数据的途径越来越多,但由于缺乏特定的计算工具,对它们的分析受到了限制。我们在此介绍 CAT PETR,这是一款用户友好型网络应用程序,用于对通过抗体微阵列收集的表达和磷酸化数据进行差异分析。我们的应用程序通过提供各种数据输入选项和可视化效果,解决了其他基于图形用户界面的工具的局限性。为了说明其在真实数据上的能力,我们展示了 CAT PETR 利用其先进的可视化和统计选项,既复制了以前的发现,又揭示了更多的见解。
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
CiteScore
1.20
自引率
11.10%
发文量
8
审稿时长
6-12 weeks
期刊介绍: Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.
期刊最新文献
Empirically adjusted fixed-effects meta-analysis methods in genomic studies. A CNN-CBAM-BIGRU model for protein function prediction. A heavy-tailed model for analyzing miRNA-seq raw read counts. Flexible model-based non-negative matrix factorization with application to mutational signatures. Choice of baseline hazards in joint modeling of longitudinal and time-to-event cancer survival data.
×
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