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Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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EventPointer: an effective identification of alternative splicing events using junction arrays.

Juan P Romero1,2, Ander Muniategui1,2, Fernando J De Miguel3

  • 1CEIT, Parque Tecnológico de San Sebastián, Paseo Mikeletegi 48, 20009, San Sebastián, Gipuzkoa, Spain.

BMC Genomics
|June 19, 2016
PubMed
Summary

We developed EventPointer, a new R package for analyzing alternative splicing (AS) events using HTA 2.0 arrays. This tool offers a powerful and efficient alternative to RNA-seq for detecting AS with high accuracy and low false discovery rates.

Keywords:
Alternative splicingJunction microarraysProtein domains

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Area of Science:

  • Transcriptomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Alternative splicing (AS) generates transcriptome diversity in eukaryotes, with growing interest in its role in pathologies.
  • Traditional AS detection methods using arrays had high false discovery rates (FDR).
  • Current Human Transcriptome Array 2.0 (HTA 2.0) analysis software has limitations in exploiting array potential and study designs.

Purpose of the Study:

  • To develop a novel statistical algorithm and software to effectively detect and analyze AS events using HTA 2.0 arrays.
  • To overcome the limitations of existing software for HTA 2.0 array analysis.
  • To provide a robust tool for AS event detection applicable to complex experimental designs.

Main Methods:

  • Developed EventPointer, an R package utilizing the aroma.affymetrix framework.
  • Employed a linear model to analyze AS events from HTA 2.0 array data.
  • Integrated analysis of exons and junctions for comprehensive event detection.

Main Results:

  • EventPointer successfully identifies AS event types, fold changes, statistical significance, and affected protein domains.
  • Demonstrated extremely low FDR, with only one false positive among the top 200 tested events.
  • The software is publicly available on GitHub.

Conclusions:

  • EventPointer enhances HTA 2.0 array capabilities for AS event detection, serving as an alternative to RNA-seq.
  • The software simplifies and accelerates AS analysis while reducing computational demands.
  • Enables robust AS event detection in complex experimental designs with high accuracy.