GeneXplorer: an interactive web application for microarray data visualization and analysis
Open Access
- 1 October 2004
- journal article
- software
- Published by Springer Nature in BMC Bioinformatics
- Vol. 5 (1) , 141
- https://doi.org/10.1186/1471-2105-5-141
Abstract
Background: When publishing large-scale microarray datasets, it is of great value to create supplemental websites where either the full data, or selected subsets corresponding to figures within the paper, can be browsed. We set out to create a CGI application containing many of the features of some of the existing standalone software for the visualization of clustered microarray data. Results: We present GeneXplorer, a web application for interactive microarray data visualization and analysis in a web environment. GeneXplorer allows users to browse a microarray dataset in an intuitive fashion. It provides simple access to microarray data over the Internet and uses only HTML and JavaScript to display graphic and annotation information. It provides radar and zoom views of the data, allows display of the nearest neighbors to a gene expression vector based on their Pearson correlations and provides the ability to search gene annotation fields. Conclusions: The software is released under the permissive MIT Open Source license, and the complete documentation and the entire source code are freely available for download from CPAN http://search.cpan.org/dist/Microarray-GeneXplorer/.Keywords
This publication has 11 references indexed in Scilit:
- Open source clustering softwareBioinformatics, 2004
- FGDP: functional genomics data pipeline for automated, multiple microarray data analysesBioinformatics, 2004
- Gene expression profiling identifies clinically relevant subtypes of prostate cancerProceedings of the National Academy of Sciences, 2004
- GEPAS: a web-based resource for microarray gene expression data analysisNucleic Acids Research, 2003
- TM4: A Free, Open-Source System for Microarray Data Management and AnalysisBioTechniques, 2003
- SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression dataNucleic Acids Research, 2003
- The Stanford Microarray Database: data access and quality assessment toolsNucleic Acids Research, 2003
- Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clusteringGenome Biology, 2002
- The Stanford Microarray DatabaseNucleic Acids Research, 2001
- Cluster analysis and display of genome-wide expression patternsProceedings of the National Academy of Sciences, 1998