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RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Related Experiment Video

Updated: Apr 18, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

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Quantitative visualization of alternative exon expression from RNA-seq data.

Yarden Katz1, Eric T Wang2, Jacob Silterra3

  • 1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, Department of Biology, MIT, Cambridge, MA.

Bioinformatics (Oxford, England)
|January 25, 2015
PubMed
Summary
This summary is machine-generated.

Sashimi plots offer a new way to visualize RNA sequencing (RNA-Seq) data, making it easier to compare how different gene versions (isoforms) are used across various samples and conditions.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Vast majority of human genes express multiple mRNA isoforms.
  • Isoform expression varies significantly across human tissues.
  • Visualizing isoform expression across large RNA-sequencing datasets is challenging.

Purpose of the Study:

  • To present a novel visualization tool for RNA sequencing data.
  • To enable quantitative comparison of exon usage across samples.
  • To facilitate the analysis of alternative splicing events.

Main Methods:

  • Introduction of Sashimi plots for quantitative visualization.
  • Sashimi plots display aligned RNA sequencing reads.
  • Can be generated using the Broad Integrated Genome Viewer or a command-line program.

Main Results:

  • Sashimi plots provide a quantitative comparison of exon usage.
  • Enables visualization of isoform expression across multiple samples and conditions.
  • Facilitates the identification of differential isoform expression.

Conclusions:

  • Sashimi plots are an effective tool for analyzing RNA sequencing data.
  • The visualization aids in understanding alternative splicing and gene expression.
  • The software is freely available for use and further development.