Trans-NanoSim characterizes and simulates nanopore RNA-sequencing data

Area of Science:

• Genomics
• Bioinformatics

Background:

• Third-generation single-molecule RNA sequencing offers advantages over second-generation technologies, particularly in long-read capabilities for isoform-level transcript characterization.
• Oxford Nanopore Technology (ONT) platforms are increasingly popular due to their affordability and portability.
• Simulated data are crucial for developing and validating analytical tools for novel sequencing technologies, but a nanopore RNA sequencing simulator was lacking.

Purpose of the Study:

• To introduce Trans-NanoSim, a novel simulator for nanopore RNA sequencing data.
• To provide a cost-effective solution for generating ground truth data for tool development.
• To capture technical and transcriptome-specific features of nanopore RNA sequencing reads.

Main Methods:

• Development of Trans-NanoSim, a simulator trained on nanopore RNA sequencing data.
• Benchmarking Trans-NanoSim using direct RNA and complementary DNA datasets from human and mouse transcriptomes.
• Comparative analysis against existing nanopore read simulators.

Main Results:

• Trans-NanoSim accurately simulates nanopore RNA sequencing reads, incorporating technical and transcriptome-specific features.
• The tool demonstrates robustness in capturing characteristics of both direct RNA and complementary DNA nanopore reads.
• Benchmarking confirmed the unique advantages of Trans-NanoSim compared to other nanopore simulators.

Conclusions:

• Trans-NanoSim serves as a cost-effective alternative to experimental sequencing for generating transcriptomic data.
• The availability of Trans-NanoSim will accelerate the development of analytical tools for nanopore RNA sequencing.
• Trans-NanoSim and its models are publicly accessible, promoting further research and tool development.