trumpet
trumpet assesses the quality of methylated RNA immunoprecipitation sequencing (MeRIP-seq) data, focusing on N6-Methyladenosine (m^6A) methylation profiling.
Key Features:
- R package: Implemented as an R package for analysis of MeRIP-seq data.
- Target modification: Focuses on N6-Methyladenosine (m^6A) profiling from MeRIP-seq (m^6A-seq) experiments.
- Hybrid QC metrics: Integrates quality assessment metrics from both ChIP-seq and RNA-seq methodologies to reflect MeRIP-seq's hybrid nature.
- Input requirements: Accepts aligned BAM files generated from m^6A-seq experiments and transcriptome information.
- Output: Generates an HTML-formatted quality assessment report.
- Applicability: Applicable to other fragmented RNA immunoprecipitation sequencing techniques including N1-Methyladenosine (m^1A-seq), Cytidine-to-Uridine editing sequencing (CeU-Seq), and Pseudouridine sequencing (Ψ-seq).
Scientific Applications:
- m^6A-seq quality assessment: Evaluating integrity and suitability of m^6A-seq datasets for downstream analyses.
- RNA modification IP-seq QC: Performing quality control on m^1A-seq, CeU-Seq, and Ψ-seq datasets.
- Technical evaluation: Assessing the technical characteristics of MeRIP-seq by combining ChIP-seq and RNA-seq quality metrics.
Methodology:
Integrates quality assessment metrics from ChIP-seq and RNA-seq methodologies using aligned BAM files and transcriptome information as input and produces an HTML-formatted quality assessment report.
Topics
Details
- License:
- GPL-2.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/29/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Zhang T, Zhang S, Zhang L, Meng J. trumpet: transcriptome-guided quality assessment of m6A-seq data. BMC Bioinformatics. 2018;19(1). doi:10.1186/s12859-018-2266-3. PMID:30001693. PMCID:PMC6044007.
PMID: 30001693
PMCID: PMC6044007
Funding: - National Scientific Foundation of China: 31671373, 61473232, 61501466, 91430111
- Jiangsu University Natural Science Research Program: 16KJB180027