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

Authors :
Lin Chi-Hung
Yang Tsun-Po
Jen Chih-Hung
Li Yin-Yi
Chang Ting-Yu
Hsu Ming-Ta
Wang Hsei-Wei
Source :
BMC Bioinformatics, Vol 9, Iss 1, p 432 (2008)
Publication Year :
2008
Publisher :
BMC, 2008.

Abstract

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 Affymetrix exon array data. The simplicity, flexibility and brevity of easyExon make it a valuable tool for AS event identification in genomic research.

Details

Language :
English
ISSN :
14712105
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.bd96f39aa1ac455f95ff78d18d5ff99e
Document Type :
article
Full Text :
https://doi.org/10.1186/1471-2105-9-432