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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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Protocol for transcriptome assembly by the TransBorrow algorithm.

Dengyi Zhao1, Juntao Liu1, Ting Yu2

  • 1School of Mathematics and Statistics, Shandong University, Weihai 264209, China.

Biology Methods & Protocols
|November 29, 2023
PubMed
Summary
This summary is machine-generated.

TransBorrow is a new software for assembling short RNA-seq reads into full-length transcripts. This tool aids in transcriptome analysis by providing fast and accurate transcript assembly and expression quantification.

Keywords:
RNA-seq datasplice variantstranscriptome assembly

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput RNA sequencing (RNA-seq) generates vast amounts of data for transcriptome analysis.
  • Short read lengths from RNA-seq pose challenges for accurate full-length transcript assembly.
  • Efficient tools are crucial for assembling and quantifying transcript expression from short reads.

Purpose of the Study:

  • To introduce TransBorrow, a novel software tool for transcriptome assembly.
  • To provide a protocol for utilizing TransBorrow with short RNA-seq reads.
  • To enable fast, accurate, and flexible analysis of transcriptomes from short-read data.

Main Methods:

  • Developed TransBorrow, a transcriptome assembly software optimized for short reads.
  • Integrated TransBorrow with splice-aware alignment tools (e.g., Hisat2, Star).
  • Combined TransBorrow with existing transcriptome assemblers (e.g., StringTie, Cufflinks, Scallop).
  • Detailed a comprehensive protocol from raw data processing to expression quantification.

Main Results:

  • TransBorrow facilitates the assembly of full-length transcripts from short RNA-seq reads.
  • The protocol enables accurate quantification of expressed transcript abundances.
  • The method is designed for speed and flexibility across different computational platforms.

Conclusions:

  • TransBorrow offers an effective solution for transcriptome assembly using short RNA-seq reads.
  • The protocol provides a complete workflow for analyzing short-read RNA-seq data.
  • This approach enhances the utility of high-throughput sequencing for transcriptomic studies.