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.

PMID: 30413564
PMCID: PMC6348990
Funding: - National Human Genome Research Institute ENCODE Project: HG007005, HG009889 - Damon Runyon Cancer Research Foundation: DRG-2172-13, K99 - National Human Genome Research Institute: HG009530 - National Institutes of Health: HG004659, NS075499