easyExon - A Java-based GUI tool for processing and visualization of Affymetrix exon array data

14Citations
Citations of this article
48Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Alternative RNA splicing greatly increases proteome diversity and thereby contribute to species- or tissue-specific functions. The possibility to study alternative splicing (AS) events on a genomic scale using splicing-sensitive microarrays, including the Affymetrix GeneChip Exon 1.0 ST microarray (exon array), has appeared very recently. However, the application of this new technology is hindered by the lack of free and user-friendly software devoted to these novel platforms. Results: In this study we present a Java-based freeware, easyExon http://microarray.ym.edu.tw/easyexon, to process, filtrate and visualize exon array data with an analysis pipeline. This tool implements the most commonly used probeset summarization methods as well as AS-orientated filtration algorithms, e.g. MIDAS and PAC, for the detection of alternative splicing events. We include a biological filtration function according to GO terms, and provide a module to visualize and interpret the selected exons and transcripts. Furthermore, easyExon can integrate with other related programs, such as Integrate Genome Browser (IGB) and Affymetrix Power Tools (APT), to make the whole analysis more comprehensive. We applied easyExon on a public accessible colon cancer dataset as an example to illustrate the analysis pipeline of this tool. Conclusion: EasyExon can efficiently process and analyze the Affymetrixexon array data. The simplicity, flexibility and brevity of easyExon make it a valuable tool for AS event identification in genomic research. © 2008 Chang et al; licensee BioMed Central Ltd.

Cite

CITATION STYLE

APA

Chang, T. Y., Li, Y. Y., Jen, C. H., Yang, T. P., Lin, C. H., Hsu, M. T., & Wang, H. W. (2008). easyExon - A Java-based GUI tool for processing and visualization of Affymetrix exon array data. BMC Bioinformatics, 9. https://doi.org/10.1186/1471-2105-9-432

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free