CircMiMi

CircMiMi constructs circRNA-miRNA-mRNA interaction networks across 18 species (16 animals and 2 plants) from user-specified circRNA junction coordinates to enable analysis of RNA-mediated gene regulation.


Key Features:

  • Species Coverage: Supports analysis across 18 species, including 16 animals and 2 plants.
  • Network Construction: Builds circRNA-miRNA and miRNA-mRNA interaction networks from user-provided circRNA junction coordinates.
  • Integration of Evidence: Integrates computational predictions with experimental data to derive interactions between circRNAs, miRNAs, and mRNAs.
  • Back-Splice Junction Analysis: Assesses alignment ambiguity of back-splice junctions to evaluate circRNA identification reliability.
  • Reverse Complementary Sequence Investigation: Analyzes reverse complementary sequences flanking circularized exons to examine mechanisms of circRNA formation.
  • Implementation: Implemented as a modular Python-based application.

Scientific Applications:

  • NeuroCirc-based Network Construction: Constructs circRNA-miRNA-mRNA networks using NeuroCirc human brain circRNA data.
  • Autism Spectrum Disorder (ASD) Research: Facilitates identification of regulatory axes by analyzing differentially expressed circRNAs and miRNAs associated with ASD.

Methodology:

Constructs interaction networks via circRNA-miRNA and miRNA-mRNA axes, integrates computational predictions and experimental data, evaluates alignment ambiguity of back-splice junctions, inspects reverse complementary sequences flanking circularized exons, and processes user-defined circRNA junction coordinates.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
8/13/2022
Last Updated:
11/24/2024

Operations

Publications

Chiang T, Mai T, Chuang T. CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04692-0. PMID:35524165. PMCID:PMC9074202.

PMID: 35524165
PMCID: PMC9074202
Funding: - Academia Sinica: AS-VTA-109-03 - Ministry of Science and Technology, Taiwan: 108-2311-B-001-020-MY3

Links