JETTA: Junction and exon toolkits for transcriptome analysis

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

Research output: Contribution to journalArticle

19 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 languageEnglish
Article numberbts134
Pages (from-to)1274-1275
Number of pages2
JournalBioinformatics
Volume28
Issue number9
DOIs
Publication statusPublished - 2012 May 1
Externally publishedYes

Fingerprint

Gene Expression Profiling
Gene expression
Software packages
Liver
Muscle
Exons
Software
Visualization
Genes
Throughput
Alternative Splicing
Software Tools
Software Package
Messenger RNA
High Throughput
Gene Expression
Genome
Demonstrate
Muscles
Research

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computational Mathematics
  • Statistics and Probability
  • Medicine(all)

Cite this

JETTA : Junction and exon toolkits for transcriptome analysis. / Seok, Junhee; Xu, Weihong; Gao, Hong; Davis, Ronald W.; Xiao, Wenzhong.

In: Bioinformatics, Vol. 28, No. 9, bts134, 01.05.2012, p. 1274-1275.

Research output: Contribution to journalArticle

Seok, J, Xu, W, Gao, H, Davis, RW & Xiao, W 2012, 'JETTA: Junction and exon toolkits for transcriptome analysis', Bioinformatics, vol. 28, no. 9, bts134, pp. 1274-1275. https://doi.org/10.1093/bioinformatics/bts134
Seok, Junhee ; Xu, Weihong ; Gao, Hong ; Davis, Ronald W. ; Xiao, Wenzhong. / JETTA : Junction and exon toolkits for transcriptome analysis. In: Bioinformatics. 2012 ; Vol. 28, No. 9. pp. 1274-1275.
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