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.

Links