JETTA: Junction and exon toolkits for transcriptome analysis

Junhee Seok; Weihong Xu; Hong Gao; Ronald W. Davis; Wenzhong Xiao

doi:10.1093/bioinformatics/bts134

JETTA: Junction and exon toolkits for transcriptome analysis

Junhee Seok, Weihong Xu, Hong Gao, Ronald W. Davis, Wenzhong Xiao

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

High-throughput genome-wide studies of alternatively spliced mRNA transcripts have become increasingly important in clinical research. Consequently, easy-to-use software tools are required to process data from these studies, for example, using exon and junction arrays. Here, we introduce JETTA, an integrated software package for the calculation of gene expression indices as well as the identification and visualization of alternative splicing events. We demonstrate the software using data of human liver and muscle samples hybridized on an exon-junction array.

Original language	English
Article number	bts134
Pages (from-to)	1274-1275
Number of pages	2
Journal	Bioinformatics
Volume	28
Issue number	9
DOIs	https://doi.org/10.1093/bioinformatics/bts134
Publication status	Published - 2012 May
Externally published	Yes

Bibliographical note

Funding Information:
Funding: National Institutes of Health U54-GM062119, P01-HG000205 and R01-HG004634.

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/bts134

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author = "Junhee Seok and Weihong Xu and Hong Gao and Davis, {Ronald W.} and Wenzhong Xiao",

note = "Funding Information: Funding: National Institutes of Health U54-GM062119, P01-HG000205 and R01-HG004634.",

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AU - Gao, Hong

AU - Davis, Ronald W.

AU - Xiao, Wenzhong

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AB - High-throughput genome-wide studies of alternatively spliced mRNA transcripts have become increasingly important in clinical research. Consequently, easy-to-use software tools are required to process data from these studies, for example, using exon and junction arrays. Here, we introduce JETTA, an integrated software package for the calculation of gene expression indices as well as the identification and visualization of alternative splicing events. We demonstrate the software using data of human liver and muscle samples hybridized on an exon-junction array.

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JETTA: Junction and exon toolkits for transcriptome analysis

Abstract

Bibliographical note

ASJC Scopus subject areas

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