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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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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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Updated: Mar 24, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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CLASS2: accurate and efficient splice variant annotation from RNA-seq reads.

Li Song1, Sarven Sabunciyan2, Liliana Florea3

  • 1Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.

Nucleic Acids Research
|March 16, 2016
PubMed
Summary
This summary is machine-generated.

CLASS2 is a new bioinformatics tool that accurately identifies gene splicing variations from RNA sequencing data. It detects more splicing events with high precision, improving transcriptome assembly for various applications.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Next-generation sequencing (NGS) enables detailed characterization of cellular RNA and alternative splicing.
  • Existing bioinformatics tools struggle to accurately capture splicing variations, often missing low-abundance variants or lacking precision.

Purpose of the Study:

  • To introduce CLASS2, a novel open-source tool for accurate genome-guided transcriptome assembly from RNA-seq reads.
  • To improve the detection and characterization of alternative splicing events.

Main Methods:

  • CLASS2 utilizes a splice graph model and a novel dynamic programming algorithm.
  • It jointly optimizes read patterns and supporting read counts for transcript scoring and prioritization.
  • The tool is implemented to be scalable, efficient, lightweight, and multi-threaded.

Main Results:

  • CLASS2 demonstrated superior overall accuracy compared to reference programs.
  • It detected up to twice as many splicing events with precision comparable to the best existing tools.
  • CLASS2 provided consistently reliable transcript models across diverse applications and sequencing strategies, including rRNA-depleted samples.

Conclusions:

  • CLASS2 offers a significant advancement in transcriptome assembly and alternative splicing analysis.
  • Its efficiency and accuracy make it suitable for a wide range of transcriptomics studies, from clinical applications to genome annotation.