ArrayXPath II: mapping and visualizing microarray gene-expression data with biomedical ontologies and integrated biological pathway resources using Scalable Vector Graphics.
ArrayXPath (http://www.snubi.org/software/ArrayXPath/) is a web-based service for mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics (SVG). Deciphering the crosstalk among pathways and integrating biomedical ontologies and knowledge bases may help biological interpretation of microarray data. ArrayXPath is empowered by integrating gene-pathway, disease-pathway, drug-pathway and pathway-pathway correlations with integrated Gene Ontology, Medical Subject Headings and OMIM Morbid Map-based annotations. We applied Fisher's exact test and relative risk to evaluate the statistical significance of the correlations. ArrayXPath produces Javascript-enabled SVGs for web-enabled interactive visualization of gene-expression profiles integrated with gene-pathway-disease interactions enriched by biomedical ontologies.
Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul 110-799, Korea.
Hee-Joon
HJ
Chung
Chan Hee
CH
Park
Mi Ryung
MR
Han
Seokho
S
Lee
Jung Hun
JH
Ohn
Jihoon
J
Kim
Jihun
J
Kim
Ju Han
JH
Kim
D016000:Cluster Analysis; D003196:Computer Graphics; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D020022:Genetic Predisposition to Disease; D020407:Internet; D046650:Medical Subject Headings; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface