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

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Authors
Chung, Hee-Joon; Park, Chan Hee; Han, Mi Ryung; Lee, Seokho; Ohn, Jung Hun; Kim, Jihoon; Kim, Jihun; Kim, Ju Han
Issue Date
2005-06-28
Publisher
Oxford University Press
Citation
Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W621-6.
Keywords
Cluster Analysis*Computer GraphicsDatabases, GeneticGene Expression Profiling/*methodsGenetic Predisposition to DiseaseInternetMedical Subject HeadingsOligonucleotide Array Sequence Analysis/*methods*SoftwareSystems IntegrationUser-Computer Interface
Abstract
Summary: 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.
ISSN
1362-4962 (Electronic)
Language
English
URI
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15980549

http://dx.dor.org/10.1093/nar/gki450

http://hdl.handle.net/10371/46957
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College of Medicine/School of Medicine (의과대학/대학원)Molecular and Genomic Medicine (분자유전체의학전공)Journal Papers (저널논문_분자유전체의학전공)
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