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Related Concept Videos

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Related Experiment Video

Updated: Jul 15, 2025

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp
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TransIntegrator: capture nearly full protein-coding transcript variants via integrating Illumina and PacBio

Zhe Lin1,2, Yangmei Qin1, Hao Chen1

  • 1State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China.

Briefings in Bioinformatics
|October 2, 2023
PubMed
Summary

A new computational method, TransIntegrator, efficiently detects novel transcript variants across the transcriptome. This tool significantly enhances genome annotation and improves transcriptome assembly, offering a valuable resource for transcriptomic research.

Keywords:
data integrationlong-read sequencingtranscript variantstranscriptome assembly

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Area of Science:

  • Genomics
  • Transcriptomics
  • Computational Biology

Background:

  • Detecting transcript variants is crucial for understanding gene function but remains challenging, especially in poorly annotated genomes.
  • Accurate transcript variant identification is essential for comprehensive genome annotation.

Purpose of the Study:

  • To develop a novel computational method, TransIntegrator, for transcriptome-wide detection of novel transcript variants.
  • To create a comprehensive transcript variant library (iTranscriptome) for amphioxus using TransIntegrator.
  • To improve genome annotation and transcriptome assembly using the developed method.

Main Methods:

  • Generated 10 Illumina sequencing transcriptomes and 1 PacBio full-length transcriptome for amphioxus embryo development.
  • Employed the TransIntegrator computational method to analyze transcriptomic data.
  • Integrated multiple Illumina datasets for gene expansion analysis.

Main Results:

  • Developed iTranscriptome, a library containing 91,915 distinct transcript variants (average 2.4 variants/gene).
  • Expanded amphioxus gene count from 21,954 to 38,777, primarily due to Illumina data integration.
  • Demonstrated TransIntegrator's superior performance in transcriptome assembly compared to hybrid methods like IDP-denovo and Trinity.

Conclusions:

  • TransIntegrator provides an affordable and efficient method for reliable transcriptomic research.
  • The developed iTranscriptome significantly enhances genome annotation quality.
  • This approach facilitates accurate transcriptome assembly, outperforming existing hybrid methods.