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Alternative RNA Splicing02:18

Alternative RNA Splicing

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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.
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...
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Alternative RNA Splicing02:18

Alternative RNA Splicing

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RNA Splicing01:32

RNA Splicing

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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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Bacterial Transformation01:33

Bacterial Transformation

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In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
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Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

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The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As  a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
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Chromatin Structure and RNA Splicing02:41

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Related Experiment Video

Updated: Feb 14, 2026

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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ASPECT: Alternative Splicing Event Classification with Transformers.

Sahil Thapa1, Miguelangel Tamargo2, Oluwatosin Oluwadare1,2

  • 1Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA.

Biorxiv : the Preprint Server for Biology
|February 13, 2026
PubMed
Summary
This summary is machine-generated.

ASPECT, a novel framework using DNABERT-2, accurately classifies alternative splicing events. This advancement aids in understanding complex splicing in diseases and expands transcriptomic diversity research.

Keywords:
Alternative SplicingByte Pair Encoding(BPE)DNABERT-2cancer-associated alternative splicing

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Area of Science:

  • Genomics and Molecular Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Alternative splicing (AS) generates diverse mRNA isoforms, crucial for proteomic diversity.
  • Dysfunctional AS variants are linked to various diseases.
  • Current AS research often overlooks specific event types and relies on limited computational approaches.

Purpose of the Study:

  • To develop a computational framework for classifying alternative splicing events.
  • To address limitations in existing methods for capturing regulatory context in splicing decisions.
  • To improve the comprehensive characterization of AS and its role in human health and disease.

Main Methods:

  • Developed ASPECT, an alternative splicing event classification framework.
  • Utilized DNABERT-2 with Byte Pair Encoding (BPE) tokenization.
  • Evaluated performance on binary alternative splicing event pair classification tasks.

Main Results:

  • ASPECT demonstrated strong performance across classification tasks, measured by AUC, F1-score, and accuracy.
  • The framework reliably discriminated between closely related splicing event types.
  • ASPECT showed consistent performance on TCGA BRCA cancer-associated splicing events, validating its applicability.

Conclusions:

  • ASPECT provides a robust method for alternative splicing event classification.
  • The framework enhances the ability to study complex splicing events and their disease implications.
  • This work contributes to a deeper understanding of alternative splicing in human health.