jViz.RNA

jViz.RNA visualizes and enables interactive editing of RNA secondary structures, including pseudoknots and RNA editing events, to support structural analysis and hypothesis testing.


Key Features:

  • Compressed Tree Graphs: jViz.RNA represents RNA structures using compressed tree graphs for faster and more stable visualization of complex molecules.
  • Pseudoknot Visualization: It implements a pseudoknot classification system within an RNA graph model to minimize overlap between structural elements and clarify pseudoknotted regions.
  • Interactive Editing: The software provides functionality to adjust positioning and connectivity of RNA molecules for dynamic exploration and construction of structures.
  • Performance Benchmarking: The software has been benchmarked against other RNA visualization packages, showing improved speed, stability, and interactive responsiveness.

Scientific Applications:

  • Pseudoknot analysis: Visualization and classification of pseudoknotted RNA structures to aid structural interpretation.
  • RNA editing studies: Representation and editing of RNA sequences undergoing editing processes to examine structural consequences.
  • Structure–function and interaction studies: Generation and manipulation of RNA structural models to support investigations of RNA function, structure, and interactions by molecular biologists.

Methodology:

RNA structures are represented with compressed tree graphs and a pseudoknot classification integrated into an RNA graph model, and interactive editing modifies node positioning and connectivity.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Shabash B, Wiese KC. jViz.RNA 4.0—Visualizing pseudoknots and RNA editing employing compressed tree graphs. PLOS ONE. 2019;14(5):e0210281. doi:10.1371/journal.pone.0210281. PMID:31059508. PMCID:PMC6502502.

PMID: 31059508
PMCID: PMC6502502
Funding: - Natural Sciences and Engineering Research Council of Canada: 238298-2013-RGPIN, NSERC CGS-D Award

Documentation

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