Clirc
Clirc identifies RNA-binding protein (RBP)-bound circular RNAs (circRNAs) from CLIP-Seq and RNA-Seq data to profile RBP-circRNA interactions and study circRNA biogenesis and function.
Key Features:
- RBP-circRNA Interaction Profiling: Analyzes CLIP-Seq datasets to detect circRNAs bound by RBPs and profile their interactions.
- Compatibility with CLIP-Seq Variants: Supports HITS-CLIP, PAR-CLIP, and iCLIP experimental variants.
- Alignment Capabilities: Employs the gsnap aligner for alignment of CLIP-Seq reads, addressing typically short read lengths.
- User-Supplied Coordinates: Accepts known circRNA coordinates from previous studies or RNA-Seq analyses to refine identification.
- General RNA-Seq Data Compatibility: Can process general RNA-Seq data with a preference for non-polyA selected datasets.
Scientific Applications:
- Genome-wide RBP-circRNA Profiling: Enables genome-wide identification of RBP-bound circRNAs from CLIP-Seq datasets.
- CircRNA Biogenesis and Function Studies: Facilitates investigation into circRNA formation and functional roles via RBP interaction data.
- Regulatory Role Characterization: Supports studies of circRNA–RBP regulatory effects on gene expression and cellular processes.
Methodology:
Repurposes existing CLIP-Seq datasets, aligns reads with gsnap, and integrates user-supplied circRNA coordinates to detect RBP-bound circRNAs while accommodating short CLIP-Seq read lengths.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- Perl
- Added:
- 1/14/2020
- Last Updated:
- 12/16/2020
Operations
Publications
Zhang M, Wang T, Xiao G, Xie Y. Large-Scale Profiling of RBP-circRNA Interactions from Public CLIP-Seq Datasets. Unknown Journal. 2019. doi:10.20944/preprints201911.0202.v1.
Zhang M, Wang T, Xiao G, Xie Y. Large-Scale Profiling of RBP-circRNA Interactions from Public CLIP-Seq Datasets. Genes. 2020;11(1):54. doi:10.3390/genes11010054. PMID:31947823. PMCID:PMC7016857.