SPRINT

SPRINT identifies RNA editing sites (RESs) directly from RNA-seq data without requiring single nucleotide variant (SNV) filtering using SNP databases and detects hyper RESs by analyzing remapped reads.


Key Features:

  • SNP-Free Detection: Identifies RESs directly from RNA-seq data without filtering SNVs using SNP databases.
  • Hyper RES Detection: Detects hyper RESs by analyzing remapped reads.
  • Automated Workflow: Provides an automated workflow applicable to any RNA-seq dataset with an available reference genome sequence.
  • Experimental Validation: Validated using RNA-seq data from samples in which genes encoding RNA editing enzymes are knocked down or over-expressed.

Scientific Applications:

  • Cross-tissue and Cross-species Analysis: Used to explore RNA editing across different tissues and species.
  • Developmental Studies: Applied to study RNA editing during development of the mouse embryonic central nervous system.

Methodology:

Detects RESs from RNA-seq without relying on SNP database filtering of SNVs and identifies hyper RESs by analyzing remapped reads.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
6/16/2018
Last Updated:
11/25/2024

Operations

Publications

Zhang F, Lu Y, Yan S, Xing Q, Tian W. SPRINT: an SNP-free toolkit for identifying RNA editing sites. Bioinformatics. 2017;33(22):3538-3548. doi:10.1093/bioinformatics/btx473. PMID:29036410. PMCID:PMC5870768.

PMID: 29036410
PMCID: PMC5870768
Funding: - National Natural Science Foundation of China: 31471245, 31671367 - Shanghai Municipal Education Commission: 13ZZ006

Documentation