• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于构建共识基因调控网络的网络工具。

A Web Tool for Consensus Gene Regulatory Network Construction.

作者信息

Sarkar Chiranjib, Parsad Rajender, Mishra Dwijesh C, Rai Anil

机构信息

ICAR-Indian Agricultural Research Institute, New Delhi, India.

ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

出版信息

Front Genet. 2021 Nov 24;12:745827. doi: 10.3389/fgene.2021.745827. eCollection 2021.

DOI:10.3389/fgene.2021.745827
PMID:34899837
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8652126/
Abstract

Gene regulatory network (GRN) construction involves various steps of complex computational steps. This step-by-step procedure requires prior knowledge of programming languages such as R. Development of a web tool may reduce this complexity in the analysis steps which can be easy accessible for the user. In this study, a web tool for constructing consensus GRN by combining the outcomes obtained from four methods, namely, correlation, principal component regression, partial least square, and ridge regression, has been developed. We have designed the web tool with an interactive and user-friendly web page using the php programming language. We have used R script for the analysis steps which run in the background of the user interface. Users can upload gene expression data for constructing consensus GRN. The output obtained from analysis will be available in downloadable form in the result window of the web tool.

摘要

基因调控网络(GRN)构建涉及众多复杂的计算步骤。这种循序渐进的过程需要诸如R等编程语言的先验知识。开发一个网络工具可能会降低分析步骤中的这种复杂性,用户可以轻松访问该工具。在本研究中,已开发出一种通过结合四种方法(即相关性、主成分回归、偏最小二乘法和岭回归)所得结果来构建共识GRN的网络工具。我们使用php编程语言设计了一个具有交互式且用户友好的网页的网络工具。我们在用户界面的后台运行的分析步骤中使用了R脚本。用户可以上传基因表达数据来构建共识GRN。分析获得的输出将以可下载的形式在网络工具的结果窗口中提供。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/7f8df99925b5/fgene-12-745827-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/96d6a45650c6/fgene-12-745827-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/48dbfae7095f/fgene-12-745827-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/7ec42758aee2/fgene-12-745827-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/8024ef568b59/fgene-12-745827-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/135c2cd59783/fgene-12-745827-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/7f8df99925b5/fgene-12-745827-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/96d6a45650c6/fgene-12-745827-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/48dbfae7095f/fgene-12-745827-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/7ec42758aee2/fgene-12-745827-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/8024ef568b59/fgene-12-745827-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/135c2cd59783/fgene-12-745827-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c4/8652126/7f8df99925b5/fgene-12-745827-g006.jpg

相似文献

1
A Web Tool for Consensus Gene Regulatory Network Construction.一种用于构建共识基因调控网络的网络工具。
Front Genet. 2021 Nov 24;12:745827. doi: 10.3389/fgene.2021.745827. eCollection 2021.
2
MALBoost: a web-based application for gene regulatory network analysis in Plasmodium falciparum.MALBoost:一种基于网络的疟原虫基因调控网络分析应用程序。
Malar J. 2021 Jul 14;20(1):317. doi: 10.1186/s12936-021-03848-2.
3
ESAP plus: a web-based server for EST-SSR marker development.ESAP plus:一个用于EST-SSR标记开发的基于网络的服务器。
BMC Genomics. 2016 Dec 22;17(Suppl 13):1035. doi: 10.1186/s12864-016-3328-4.
4
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.UNIPred-Web:一个用于整合和可视化生物分子网络的网络工具,用于蛋白质功能预测。
BMC Bioinformatics. 2019 Aug 14;20(1):422. doi: 10.1186/s12859-019-2959-2.
5
Co-expression for Genotype-Phenotype Function Annotation in Potato Research.在马铃薯研究中进行基因型-表型功能注释的共表达分析。
Methods Mol Biol. 2021;2354:261-272. doi: 10.1007/978-1-0716-1609-3_12.
6
OntologyWidget - a reusable, embeddable widget for easily locating ontology terms.本体小部件 - 一种可重复使用、可嵌入的小部件,用于轻松定位本体术语。
BMC Bioinformatics. 2007 Sep 13;8:338. doi: 10.1186/1471-2105-8-338.
7
cGRNB: a web server for building combinatorial gene regulatory networks through integrated engineering of seed-matching sequence information and gene expression datasets.cGRNB:一个通过种子匹配序列信息和基因表达数据集的综合工程构建组合基因调控网络的网络服务器。
BMC Syst Biol. 2013;7 Suppl 2(Suppl 2):S7. doi: 10.1186/1752-0509-7-S2-S7. Epub 2013 Oct 14.
8
ModuleRole: a tool for modulization, role determination and visualization in protein-protein interaction networks.模块角色:一种用于蛋白质-蛋白质相互作用网络中模块化、角色确定和可视化的工具。
PLoS One. 2014 May 1;9(5):e94608. doi: 10.1371/journal.pone.0094608. eCollection 2014.
9
The Gene Set Builder: collation, curation, and distribution of sets of genes.基因集构建器:基因集的整理、管理与分发。
BMC Bioinformatics. 2005 Dec 21;6:305. doi: 10.1186/1471-2105-6-305.
10
EpiRegNet: constructing epigenetic regulatory network from high throughput gene expression data for humans.EpiRegNet:从人类高通量基因表达数据构建表观遗传调控网络。
Epigenetics. 2011 Dec;6(12):1505-12. doi: 10.4161/epi.6.12.18176.

引用本文的文献

1
Mathematical modeling of regulatory networks of intracellular processes - Aims and selected methods.细胞内过程调控网络的数学建模——目标与选定方法
Comput Struct Biotechnol J. 2023 Feb 8;21:1523-1532. doi: 10.1016/j.csbj.2023.02.006. eCollection 2023.

本文引用的文献

1
NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis.NetworkAnalyst 3.0:一个用于全面基因表达谱分析和荟萃分析的可视化分析平台。
Nucleic Acids Res. 2019 Jul 2;47(W1):W234-W241. doi: 10.1093/nar/gkz240.
2
GeNeCK: a web server for gene network construction and visualization.GeNeCK:一个用于基因网络构建和可视化的网络服务器。
BMC Bioinformatics. 2019 Jan 7;20(1):12. doi: 10.1186/s12859-018-2560-0.
3
CoExpNetViz: Comparative Co-Expression Networks Construction and Visualization Tool.
CoExpNetViz:比较共表达网络构建与可视化工具。
Front Plant Sci. 2016 Jan 5;6:1194. doi: 10.3389/fpls.2015.01194. eCollection 2015.
4
dna: An R package for differential network analysis.DNA:用于差异网络分析的R软件包。
Bioinformation. 2014 Apr 23;10(4):233-4. doi: 10.6026/97320630010233. eCollection 2014.
5
MIDER: network inference with mutual information distance and entropy reduction.MIDER:基于互信息距离和熵减少的网络推理
PLoS One. 2014 May 7;9(5):e96732. doi: 10.1371/journal.pone.0096732. eCollection 2014.
6
A statistical framework for differential network analysis from microarray data.一种基于微阵列数据的差异网络分析的统计框架。
BMC Bioinformatics. 2010 Feb 19;11:95. doi: 10.1186/1471-2105-11-95.
7
minet: A R/Bioconductor package for inferring large transcriptional networks using mutual information.minet:一个用于使用互信息推断大型转录网络的R/Bioconductor软件包。
BMC Bioinformatics. 2008 Oct 29;9:461. doi: 10.1186/1471-2105-9-461.
8
Reconstruction of genetic association networks from microarray data: a partial least squares approach.基于微阵列数据重建基因关联网络:一种偏最小二乘法
Bioinformatics. 2008 Feb 15;24(4):561-8. doi: 10.1093/bioinformatics/btm640. Epub 2008 Jan 18.
9
BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network.BNArray:一个用于通过贝叶斯网络从微阵列数据构建基因调控网络的R软件包。
Bioinformatics. 2006 Dec 1;22(23):2952-4. doi: 10.1093/bioinformatics/btl491. Epub 2006 Sep 27.