L-RAPiT

L-RAPiT processes long-read RNA sequencing (LRS) data to analyze transcriptomic structures and functions at the transcript level.

Key Features:

• LRS data processing: Processes long-read RNA sequencing (LRS) datasets to extract transcriptomic information.
• Platform support: Accepts reads generated by Oxford Nanopore and PacBio long-read sequencing platforms.
• Input compatibility: Supports analysis of publicly available and newly generated LRS datasets.
• Preservation of transcript-level information: Retains detailed transcript-level information, including accurate and quantitative records of splicing patterns.
• Standardization and comparability: Applies a standardized analysis approach to enable comparability of results across studies.
• Transcriptome annotation: Enables construction of comprehensive and accurate transcriptome annotations from LRS data.
• Variant analysis: Facilitates identification and analysis of emerging virus variants from long-read transcriptomic data.

Scientific Applications:

• Novel transcriptome annotations: Construction of comprehensive and accurate transcriptome annotations using long-read sequencing data.
• Emerging virus variant identification: Detection and analysis of virus variants from transcriptomic long-read data for monitoring emerging infectious diseases.

Methodology:

Processes input long-read RNA sequencing (LRS) datasets (public or newly generated) to extract and analyze transcriptomic structures and functions.