• 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

拟南芥共表达工具(ACT):基于微阵列的基因表达分析的网络服务器工具。

Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis.

作者信息

Manfield Iain W, Jen Chih-Hung, Pinney John W, Michalopoulos Ioannis, Bradford James R, Gilmartin Philip M, Westhead David R

机构信息

Centre for Plant Sciences, University of Leeds, West Yorkshire, LS2 9JT, UK.

出版信息

Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W504-9. doi: 10.1093/nar/gkl204.

DOI:10.1093/nar/gkl204
PMID:16845059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1538833/
Abstract

The Arabidopsis Co-expression Tool, ACT, ranks the genes across a large microarray dataset according to how closely their expression follows the expression of a query gene. A database stores pre-calculated co-expression results for approximately 21,800 genes based on data from over 300 arrays. These results can be corroborated by calculation of co-expression results for user-defined sub-sets of arrays or experiments from the NASC/GARNet array dataset. Clique Finder (CF) identifies groups of genes which are consistently co-expressed with each other across a user-defined co-expression list. The parameters can be altered easily to adjust cluster size and the output examined for optimal inclusion of genes with known biological roles. Alternatively, a Scatter Plot tool displays the correlation coefficients for all genes against two user-selected queries on a scatter plot which can be useful for visual identification of clusters of genes with similar r-values. User-input groups of genes can be highlighted on the scatter plots. Inclusion of genes with known biology in sets of genes identified using CF and Scatter Plot tools allows inferences to be made about the roles of the other genes in the set and both tools can therefore be used to generate short lists of genes for further characterization. ACT is freely available at www.Arabidopsis.leeds.ac.uk/ACT.

摘要

拟南芥共表达工具(ACT)根据基因表达与查询基因表达的相似程度,对大量微阵列数据集里的基因进行排名。一个数据库基于300多个阵列的数据存储了约21,800个基因的预先计算的共表达结果。这些结果可以通过计算来自NASC/GARNet阵列数据集的用户定义的阵列子集或实验的共表达结果来进行验证。团簇查找器(CF)可识别在用户定义的共表达列表中彼此始终共表达的基因组。可以轻松更改参数以调整聚类大小,并检查输出结果,以便最佳地纳入具有已知生物学作用的基因。或者,散点图工具会在散点图上显示所有基因与两个用户选择的查询的相关系数,这对于直观识别具有相似r值的基因簇很有用。用户输入的基因组可以在散点图上突出显示。在使用CF和散点图工具识别的基因集中纳入具有已知生物学功能的基因,可以推断出该集合中其他基因的作用,因此这两种工具都可用于生成用于进一步表征的基因短名单。ACT可在www.Arabidopsis.leeds.ac.uk/ACT上免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ed/1538833/a4971d5cea2e/gkl204f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ed/1538833/a7a4832dc241/gkl204f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ed/1538833/0682485086b7/gkl204f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ed/1538833/a4971d5cea2e/gkl204f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ed/1538833/a7a4832dc241/gkl204f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ed/1538833/0682485086b7/gkl204f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ed/1538833/a4971d5cea2e/gkl204f3.jpg

相似文献

1
Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis.拟南芥共表达工具(ACT):基于微阵列的基因表达分析的网络服务器工具。
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W504-9. doi: 10.1093/nar/gkl204.
2
The Arabidopsis co-expression tool (ACT): a WWW-based tool and database for microarray-based gene expression analysis.拟南芥共表达工具(ACT):一个基于网络的工具和数据库,用于基于微阵列的基因表达分析。
Plant J. 2006 Apr;46(2):336-48. doi: 10.1111/j.1365-313X.2006.02681.x.
3
MILANO--custom annotation of microarray results using automatic literature searches.米兰——使用自动文献检索对微阵列结果进行定制注释。
BMC Bioinformatics. 2005 Jan 20;6:12. doi: 10.1186/1471-2105-6-12.
4
SVD-based anatomy of gene expressions for correlation analysis in Arabidopsis thaliana.基于奇异值分解的拟南芥基因表达解剖结构用于相关性分析
DNA Res. 2008 Dec;15(6):367-74. doi: 10.1093/dnares/dsn025. Epub 2008 Oct 17.
5
MAGMA: analysis of two-channel microarrays made easy.MAGMA:轻松分析双通道微阵列。
Nucleic Acids Res. 2007 Jul;35(Web Server issue):W86-90. doi: 10.1093/nar/gkm302. Epub 2007 May 21.
6
ATTED-II: a database of co-expressed genes and cis elements for identifying co-regulated gene groups in Arabidopsis.ATTED-II:一个用于鉴定拟南芥中共同调控基因组的共表达基因和顺式元件数据库。
Nucleic Acids Res. 2007 Jan;35(Database issue):D863-9. doi: 10.1093/nar/gkl783. Epub 2006 Nov 27.
7
AthaMap web tools for the analysis and identification of co-regulated genes.用于分析和识别共调控基因的AthaMap网络工具。
Nucleic Acids Res. 2007 Jan;35(Database issue):D857-62. doi: 10.1093/nar/gkl1006. Epub 2006 Dec 5.
8
ChroCoLoc: an application for calculating the probability of co-localization of microarray gene expression.ChroCoLoc:一种用于计算微阵列基因表达共定位概率的应用程序。
Bioinformatics. 2006 Mar 15;22(6):765-7. doi: 10.1093/bioinformatics/btk022. Epub 2005 Dec 23.
9
Co-expression analysis of metabolic pathways in plants.植物代谢途径的共表达分析
Methods Mol Biol. 2009;553:247-64. doi: 10.1007/978-1-60327-563-7_12.
10
Plant-based microarray data at the European Bioinformatics Institute. Introducing AtMIAMExpress, a submission tool for Arabidopsis gene expression data to ArrayExpress.欧洲生物信息学研究所的植物微阵列数据。介绍AtMIAMExpress,一种用于向ArrayExpress提交拟南芥基因表达数据的工具。
Plant Physiol. 2005 Oct;139(2):632-6. doi: 10.1104/pp.105.063156.

引用本文的文献

1
CoGTEx: Unscaled system-level coexpression estimation from GTEx data forecast novel functional gene partners.CoGTEx:从 GTEx 数据预测新的功能基因伙伴的无标度系统水平共表达估计。
PLoS One. 2024 Oct 4;19(10):e0309961. doi: 10.1371/journal.pone.0309961. eCollection 2024.
2
Approaches in Gene Coexpression Analysis in Eukaryotes.真核生物基因共表达分析方法
Biology (Basel). 2022 Jul 6;11(7):1019. doi: 10.3390/biology11071019.
3
The gene co-expression network.基因共表达网络。

本文引用的文献

1
The Arabidopsis co-expression tool (ACT): a WWW-based tool and database for microarray-based gene expression analysis.拟南芥共表达工具(ACT):一个基于网络的工具和数据库,用于基于微阵列的基因表达分析。
Plant J. 2006 Apr;46(2):336-48. doi: 10.1111/j.1365-313X.2006.02681.x.
2
How does gene expression clustering work?基因表达聚类是如何工作的?
Nat Biotechnol. 2005 Dec;23(12):1499-501. doi: 10.1038/nbt1205-1499.
3
Inferring hypotheses on functional relationships of genes: Analysis of the Arabidopsis thaliana subtilase gene family.推断基因功能关系的假设:拟南芥枯草杆菌蛋白酶基因家族分析
Plant Direct. 2022 Apr 26;6(4):e396. doi: 10.1002/pld3.396. eCollection 2022 Apr.
4
Biomolecule and Bioentity Interaction Databases in Systems Biology: A Comprehensive Review.系统生物学中的生物分子和生物实体相互作用数据库:全面综述。
Biomolecules. 2021 Aug 20;11(8):1245. doi: 10.3390/biom11081245.
5
Coexpression Tool: a tool for gene coexpression analysis in .共表达工具:用于基因共表达分析的工具
iScience. 2021 Jul 10;24(8):102848. doi: 10.1016/j.isci.2021.102848. eCollection 2021 Aug 20.
6
MyoMiner: explore gene co-expression in normal and pathological muscle.MyoMiner:探索正常和病态肌肉中的基因共表达。
BMC Med Genomics. 2020 May 11;13(1):67. doi: 10.1186/s12920-020-0712-3.
7
Identification of gene expression logical invariants in .识别……中的基因表达逻辑不变量 。(原文中“in.”后面内容缺失)
Plant Direct. 2019 Mar 20;3(3):e00123. doi: 10.1002/pld3.123. eCollection 2019 Mar.
8
A novel approach to select differential pathways associated with hypertrophic cardiomyopathy based on gene co‑expression analysis.一种基于基因共表达分析选择与肥厚型心肌病相关的差异途径的新方法。
Mol Med Rep. 2017 Jul;16(1):773-777. doi: 10.3892/mmr.2017.6667. Epub 2017 May 31.
9
COBRA-LIKE2, a member of the glycosylphosphatidylinositol-anchored COBRA-LIKE family, plays a role in cellulose deposition in arabidopsis seed coat mucilage secretory cells.COBRA-LIKE2 是糖基磷脂酰肌醇锚定的 COBRA-LIKE 家族的一员,在拟南芥种皮粘液分泌细胞的纤维素沉积中发挥作用。
Plant Physiol. 2015 Mar;167(3):711-24. doi: 10.1104/pp.114.240671. Epub 2015 Jan 12.
10
SNF2 chromatin remodeler-family proteins FRG1 and -2 are required for RNA-directed DNA methylation.SNF2染色质重塑因子家族蛋白FRG1和FRG2是RNA指导的DNA甲基化所必需的。
Proc Natl Acad Sci U S A. 2014 Dec 9;111(49):17666-71. doi: 10.1073/pnas.1420515111. Epub 2014 Nov 25.
PLoS Comput Biol. 2005 Sep;1(4):e40. doi: 10.1371/journal.pcbi.0010040. Epub 2005 Sep 23.
4
Gene-expression analysis and network discovery using Genevestigator.使用Genevestigator进行基因表达分析和网络发现。
Trends Plant Sci. 2005 Sep;10(9):407-9. doi: 10.1016/j.tplants.2005.07.003.
5
The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses.植物学阵列资源:电子北方印迹、表达垂钓及启动子分析。
Plant J. 2005 Jul;43(1):153-63. doi: 10.1111/j.1365-313X.2005.02437.x.
6
Identification of genes required for cellulose synthesis by regression analysis of public microarray data sets.通过对公共微阵列数据集进行回归分析来鉴定纤维素合成所需的基因。
Proc Natl Acad Sci U S A. 2005 Jun 14;102(24):8633-8. doi: 10.1073/pnas.0503392102. Epub 2005 Jun 2.
7
Identification of brassinosteroid-related genes by means of transcript co-response analyses.通过转录共响应分析鉴定油菜素内酯相关基因。
Nucleic Acids Res. 2005 May 12;33(8):2685-96. doi: 10.1093/nar/gki566. Print 2005.
8
MetaCyc and AraCyc. Metabolic pathway databases for plant research.MetaCyc和AraCyc。用于植物研究的代谢途径数据库。
Plant Physiol. 2005 May;138(1):27-37. doi: 10.1104/pp.105.060376.
9
Modelling gene networks at different organisational levels.在不同组织层次上构建基因网络模型。
FEBS Lett. 2005 Mar 21;579(8):1859-66. doi: 10.1016/j.febslet.2005.01.073.
10
The Stanford Microarray Database accommodates additional microarray platforms and data formats.斯坦福微阵列数据库支持其他微阵列平台和数据格式。
Nucleic Acids Res. 2005 Jan 1;33(Database issue):D580-2. doi: 10.1093/nar/gki006.