arrow
返回

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

delete2006-07-01
delete138
delete
OA
AI
I
Iain W. Manfield *
C
Chih‐Hung Jen
J
John W. Pinney
I
Ioannis Michalopoulos
J
James Bradford
G
Gilmartin, Philip M.
D
David R. Westhead
DOI:10.1093/nar/gkl204delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
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 similar to 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.
Keyword:
TRANSCRIPTION FACTORS
RESOURCE
DATABASE
IDENTIFICATION
BIOLOGY
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Nucleic Acids Research 封面图
Nucleic Acids Research
IF:
13.1
论文数:
3.6W
被引数:
29.0W

机构

暂无机构信息
引用论文

引用论文

暂无论文信息