RADAR

RADAR annotates and prioritizes genetic variants in the post-transcriptional regulome of RNA-binding proteins (RBPs) to assess their potential functional impact using ENCODE-RBP and integrated genomic features.


Key Features:

  • ENCODE-RBP integration: Integrates ENCODE-RBP experimental data for RBP binding and regulome mapping.
  • Conservation metrics: Evaluates sequence conservation to inform variant impact.
  • RNA structure analysis: Assesses RNA secondary-structure features at variant sites.
  • Network centrality metrics: Computes network centrality measures to prioritize variants affecting central RBP-regulatory nodes.
  • Motif recognition: Detects RBP-binding motif occurrences overlapping variants.
  • Overall impact scoring: Synthesizes multiple feature scores into a single variant impact score.
  • Tissue-specific analysis: Incorporates tissue-specific inputs to refine variant relevance.
  • Somatic and germline variant identification: Identifies and scores both somatic and germline variants for RBP-function dysregulation.

Scientific Applications:

  • Disease research: Pinpoints variants linked to RBP dysfunction to study molecular mechanisms in diseases including cancer.
  • Variant prioritization: Ranks variants by predicted post-transcriptional impact to prioritize candidates for functional validation.

Methodology:

Integrates ENCODE-RBP experimental datasets and applies computational analyses of sequence conservation, RNA structural features, network centrality metrics, and RBP-motif occurrences, then combines these features with tissue-specific information to compute an overall impact score per variant.

Topics

Details

Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/3/2021

Operations

Publications

Zhang J, Liu J, Lee D, Feng J, Lochovsky L, Lou S, Rutenberg-Schoenberg M, Gerstein M. RADAR: annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins. Genome Biology. 2020;21(1). doi:10.1186/s13059-020-01979-4. PMID:32727537. PMCID:PMC7391703.

PMID: 32727537
PMCID: PMC7391703
Funding: - National Institutes of Health: 1U24HG009446

Links