R-chie
R-chie visualizes nucleic acid interactions and generates arc diagrams to represent RNA secondary structures and genomic interactions for analysis of cis and trans RNA-RNA, RNA-DNA, and DNA-DNA relationships.
Key Features:
- Arc diagram generation: Creates arc diagrams for RNA secondary structures to compare and analyze overlapping structural features.
- Base-pair ranking and color-coding: Ranks and color-codes base pairs to highlight relative support or importance within interactions.
- Visualization of genomic interactions: Displays genomic interaction data to represent DNA-DNA and RNA-DNA contacts across loci.
- Evolutionary information integration: Incorporates multiple-sequence alignments to display evolutionary covariation and relatedness among sequences.
- Comparison of interaction datasets: Compares two alternative sets of interaction data to visualize differences between predicted or observed interactions.
- Quantitative data integration: Integrates quantitative evidence into visualizations to represent strength or confidence of interactions.
Scientific Applications:
- Trans RNA-RNA and RNA-DNA transcriptome interactions: Visualization and comparison of intermolecular transcriptome interactions among RNAs and between RNA and DNA.
- Trans DNA-DNA genome interactions: Visualization and analysis of genome-wide DNA-DNA contacts and their structural relationships.
Methodology:
Generates arc diagrams for RNA secondary structures, incorporates multiple-sequence alignments to indicate evolutionary covariation, ranks and color-codes base pairs, compares alternative interaction datasets, and integrates quantitative experimental and computational evidence into the visualizations.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/3/2021
Operations
Publications
Tsybulskyi V, Mounir M, Meyer IM. R-chie: a web server and R package for visualizing cis and trans RNA–RNA, RNA–DNA and DNA–DNA interactions. Nucleic Acids Research. 2020;48(18):e105-e105. doi:10.1093/nar/gkaa708. PMID:32976561. PMCID:PMC7544209.