hyperTRIBER
hyperTRIBER identifies and quantifies differential adenosine-to-inosine (A-to-I) RNA editing events associated with ADAR activity from RNA-seq experiments.
Key Features:
- R package: Suite of functions implemented in R for differential RNA editing analysis and processing of HyperTRIBE RNA-seq data.
- Robust statistical framework: Models account for covariates including base-specific read coverage and total transcript expression.
- Support for ADAR–RBP experiments: Designed to analyze A-to-I edits arising from ADAR catalytic activity integrated with RNA-binding proteins (HyperTRIBE setups).
- Complex experimental design handling: Enables covariate modeling suitable for multifactor or complex experimental scenarios.
- High sensitivity: Capable of detecting editing events at low editing proportions and low transcript expression levels.
Scientific Applications:
- RBP target identification: Identification of RNA-binding protein (RBP)-bound transcripts via ADAR-catalyzed A-to-I edits.
- HyperTRIBE RNA-seq analysis: Applied to detect RNAs bound by the N6-methyladenosine (m6A) reader protein ECT2 in Arabidopsis roots using HyperTRIBE data.
Methodology:
Integrates ADAR-mediated A-to-I edits from HyperTRIBE RNA-seq and applies a statistical framework that controls for covariates such as base-specific read coverage and total transcript expression to detect differential editing, including events with low editing proportions and low expression.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 4/30/2022
- Last Updated:
- 4/30/2022
Operations
Publications
Rennie S, Magnusson DH, Andersson R. hyperTRIBER: a flexible R package for the analysis of differential RNA editing. Unknown Journal. 2021. doi:10.1101/2021.10.20.465108.