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.