RBP-Maps
RBP-Maps generates splicing regulatory maps by integrating in vivo RBP binding data (CLIP/eCLIP) with alternative splicing events from RNA-seq or microarray to reveal position-specific effects of RBPs on splice site selection and exon inclusion.
Key Features:
- Integration of datasets: Combines in vivo RBP binding data from CLIP (including eCLIP) with alternative splicing calls derived from RNA-seq or microarray.
- Splicing map construction: Produces splicing regulatory maps by computing CLIP signal relative to a merged meta-exon to assess positional regulatory patterns.
- Signal representations: Supports multiple CLIP signal metrics, including peak-based and read-density-based representations.
- Crosslink resolution options: Allows analysis using whole-reads versus single-nucleotide candidate crosslink positions to vary positional resolution.
- Reference datasets: Demonstrated with example eCLIP data from 150 RBPs profiled by the ENCODE consortium for comparative analyses.
- Focus on alternative splicing regulation: Targets analysis of how RBPs influence exon inclusion and splice site selection across genomic contexts.
Scientific Applications:
- Position-specific RBP regulation: Identify and interpret location-dependent effects of RBP binding on alternative splicing events.
- Comparative RBP analysis: Compare splicing regulatory patterns across multiple RBPs using ENCODE eCLIP data for up to 150 proteins.
- Methodological impact assessment: Evaluate how choices such as peak versus read-density metrics or whole-read versus single-nucleotide crosslink positions affect splicing map interpretation.
- Integration of transcriptomic and CLIP data: Link RNA-seq or microarray-derived splicing changes to observed CLIP binding distributions.
Methodology:
Integrate CLIP/eCLIP binding data with alternative splicing events from RNA-seq or microarray, compute CLIP signal relative to a merged meta-exon to generate splicing maps, and compare analyses using peak versus read-density metrics and whole-read versus single-nucleotide candidate crosslink positions using example ENCODE eCLIP data from 150 RBPs.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 5/29/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Yee BA, Pratt GA, Graveley BR, Van Nostrand EL, Yeo GW. RBP-Maps enables robust generation of splicing regulatory maps. RNA. 2018;25(2):193-204. doi:10.1261/rna.069237.118. PMID:30413564. PMCID:PMC6348990.