FASTdRNA
FASTdRNA processes direct RNA sequencing (dRNA-seq) data from Oxford Nanopore Technology to perform transcript mapping, poly(A) length estimation, RNA modification prediction, and alternative splicing analysis.
Key Features:
- Oxford Nanopore dRNA-seq compatibility: Designed specifically for direct RNA sequencing data generated with Oxford Nanopore Technology (ONT).
- Elimination of PCR amplification: Leverages dRNA-seq to bypass PCR, reducing GC bias and preserving base-level information such as RNA modifications and poly(A) length.
- Two-module workflow: Comprises a Data Preprocessing Module (dRNAmain) and a Data Analysis Module to separate base processing from downstream analyses.
- dRNAmain preprocessing: Includes basecalling, mapping, and transcript counting as explicit preprocessing steps.
- Data analysis capabilities: Provides poly(A) length estimation, RNA modification prediction, alternative splicing assessment, and duplication assessment.
- Snakemake integration: Implemented to run within the Snakemake workflow management framework.
- Demonstrated performance: Comparative experiments reported that FASTdRNA outperforms previous methods in efficiency and analytical scope.
Scientific Applications:
- Transcript mapping and quantification: Accurate mapping and transcript counting from ONT dRNA-seq datasets.
- RNA modification analysis: Detection and prediction of RNA modifications preserved in direct RNA sequencing reads.
- Poly(A) tail analysis: Estimation of poly(A) tail length at the transcript level.
- Alternative splicing and duplication assessment: Identification of alternative splicing events and assessment of duplication across conditions.
- Transcriptomics and gene regulation studies: Analysis of gene expression regulation and post-transcriptional modifications across biological conditions.
- Method benchmarking: Comparative evaluation of pipeline performance against previous methods.
Methodology:
Computational steps explicitly include basecalling, mapping, and transcript counting in the dRNAmain preprocessing module, followed by poly(A) length estimation, RNA modification prediction, alternative splicing assessment, and duplication assessment in the Data Analysis Module, with the workflow implemented under Snakemake.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- workflow
- Programming Languages:
- Python, R
- Added:
- 3/27/2024
- Last Updated:
- 3/27/2024
Operations
Publications
Chen X, Liu Y, Lv K, Wang M, Liu X, Li B. FASTdRNA: a workflow for the analysis of ONT direct RNA sequencing. Bioinformatics Advances. 2023;3(1). doi:10.1093/bioadv/vbad099. PMID:37521311. PMCID:PMC10375421.