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Related Concept Videos

Alternative RNA Splicing02:18

Alternative RNA Splicing

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.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
Alternative RNA Splicing02:18

Alternative RNA Splicing

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.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
RNA Splicing01:32

RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
RNA Splicing01:32

RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
Exon Recombination02:32

Exon Recombination

The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon has three reading...
Pre-mRNA Processing: RNA Splicing01:32

Pre-mRNA Processing: RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...

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Related Experiment Video

Updated: Jun 28, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

Finding alternative splicing patterns with strong support from expressed sequences on individual exons/introns.

Thomas K F Wong1, Tak-Wah Lam, Wanling Yang

  • 1Department of Computer Science, The University of Hong Kong, Hong Kong. kfwong@cs.hku.hk

Journal of Bioinformatics and Computational Biology
|October 23, 2008
PubMed
Summary

Predicting alternative splicing patterns from expressed sequences is challenging due to errors. This study introduces a novel method that improves specificity by ensuring exon/intron support, enhancing accuracy in identifying splicing variations.

More Related Videos

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

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Last Updated: Jun 28, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Alternative splicing generates protein diversity but is difficult to predict accurately from expressed sequence data.
  • Existing methods like ECgene suffer from low specificity (5.9%) due to errors in expressed sequences (cDNAs and ESTs).

Purpose of the Study:

  • To develop a novel computational approach for predicting alternative splicing patterns with improved accuracy.
  • To enhance the specificity of alternative splicing prediction by ensuring sufficient sequence support for identified exons and introns.

Main Methods:

  • Developed a new algorithm that filters predicted splicing patterns based on the consistency and support from individual expressed sequences.
  • Evaluated the approach on a dataset of expressed sequences, comparing results against established databases and software.

Main Results:

  • The proposed method achieved a specificity of 38.9%, a significant improvement over existing tools.
  • Sensitivity was slightly increased to 84.9%, demonstrating a better balance between detecting true positives and minimizing false positives.
  • Outperformed popular alternative splicing databases (ASD, ECgene, SpliceNest) and ClusterMerge in performance metrics.

Conclusions:

  • Ensuring sufficient sequence support for exons and introns is crucial for accurate alternative splicing prediction.
  • The developed approach offers a more reliable method for identifying alternative splicing events, reducing false positives caused by erroneous sequence data.