ArrayXPath: mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics

被引：47

作者：

Chung, HJ

Kim, M

Park, CH

Kim, J ^{[1
]}

Kim, JH ^{[1
]}

机构：

[1] Seoul Natl Univ Biomed Informat, Seoul 110799, South Korea

[2] Seoul Natl Univ, Coll Med, Human Genome Res Inst, Seoul 110799, South Korea

来源：

NUCLEIC ACIDS RESEARCH | 2004年 / 32卷

关键词：

D O I：

10.1093/nar/gkh476

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Biological pathways can provide key information on the organization of biological systems. ArrayXPath (http://www.snubi.org/software/ArrayXPath/) is a web-based service for mapping and visualizing microarray gene-expression data for integrated biological pathway resources using Scalable Vector Graphics (SVG). By integrating major bio-databases and searching pathway resources, ArrayXPath automatically maps different types of identifiers from microarray probes and pathway elements. When one inputs gene-expression clusters, ArrayXPath produces a list of the best matching pathways for each cluster. We applied Fisher's exact test and the false discovery rate (FDR) to evaluate the statistical significance of the association between a cluster and a pathway while correcting the multiple-comparison problem. ArrayXPath produces Javascript-enabled SVGs for web-enabled interactive visualization of pathways integrated with gene-expression profiles.

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收藏

页码：W460 / W464

页数：5

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