How to Use RNAcofold | ViennaRNA
Commercially Available Online Web Server
Predict the minimum-free-energy structure of two interacting RNA strands.
Predict the minimum-free-energy structure of two interacting RNA strands. Upload or paste the appropriate RNA input, adjust the advanced settings if needed, and inspect the returned table and available visualizations.
How RNAcofold | ViennaRNA Works
Two RNA strands are concatenated with a chain break so both intramolecular and intermolecular pairs can contribute to the minimum-free-energy dimer. Partition-function analysis can estimate pair probabilities. If initial strand concentrations are supplied, the equilibrium calculation reports the relative abundance of monomers and homo- and heterodimers.
What is Neurosnap?
Neurosnap is the leading platform for bioinformatics and computational science focused on expanding access to powerful modeling and simulation tools. Because many state-of-the-art machine learning systems remain complex to install, configure, and scale, Neurosnap offers a clean, browser-based workspace that removes the burden of infrastructure management, dependency conflicts, and command-line tooling.
Built for biologists, chemists, and cross-disciplinary scientists, the platform enables advanced computational workflows without requiring expertise in software engineering or cloud architecture. Researchers can launch analyses through an intuitive interface, connect programmatically through a comprehensive API, and rely on automated resource management to scale workloads efficiently. By taking care of the underlying compute and operational complexity, Neurosnap allows teams to devote their energy to scientific progress and faster iteration. Security and data protection remain foundational principles, with clear safeguards outlined in our Terms of Use and Privacy Policy to ensure your work stays protected.
Advancing Discovery with RNAcofold | ViennaRNA on Neurosnap
Using RNAcofold | ViennaRNA on Neurosnap could drastically accelerate RNA structure and interaction analysis from sequence data.
- Focused inputs: Submit RNA sequence or structure data directly.
- Traceable output: Review a result table and the original calculation output.
- Visual review: Inspect a secondary-structure arc diagram when a structure is returned.
How to Use RNAcofold | ViennaRNA on Neurosnap
To harness the capabilities of RNAcofold | ViennaRNA, researchers can follow this streamlined workflow within Neurosnap:
- Access Neurosnap: Start by logging in to the Neurosnap website.
- Select Tool: From the list of available tools, choose RNAcofold | ViennaRNA.
- Provide Inputs: Provide all the inputs specified within the submission panel and optionally configure the tool as desired.
- Run Tool: Submit the RNAcofold | ViennaRNA job and Neurosnap will execute it in the cloud, automatically notifying you as soon as your results are ready.
- Review Output: Explore your results through rich visualizations, including figures, plots, and interactive views designed to help you analyze findings with clarity and confidence.
Citations
Please cite the original work when using RNAcofold | ViennaRNA in publications or research outputs.
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Lorenz et al. 2011. ViennaRNA Package 2.0. Algorithms for Molecular Biology 6:26. https://doi.org/10.1186/1748-7188-6-26. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |
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