dsRNA Structure Browser
Explore RNA secondary structures with RNA structure probing data
dsRNA Explorer
0
Total dsRNAs
0
High ML Score
0
Conserved
0
With Probing Data
| ID | Chr | ML GTEx | ML Stability | ML Probing | Energy | Length | BP % | Helix (bp) | Loop (nt) | Gene i | Gene j | Conserved | Best Reactivity | Expts | Reactivity i | Reactivity j | i arm edits | j arm edits |
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Table Legend & Interpretation Guide
Machine Learning Scores:
ML GTEx: Predicts ADAR editing (w/ expression)
ML Stability: Predicts ADAR editing (structure only)
ML Probing: Predicts structure formation
GTEx/Stability: editing likelihood | Probing: formation likelihood
ML GTEx: Predicts ADAR editing (w/ expression)
ML Stability: Predicts ADAR editing (structure only)
ML Probing: Predicts structure formation
GTEx/Stability: editing likelihood | Probing: formation likelihood
ML Score Thresholds:
GTEx ≥0.251 High confidence (93.8% sens.)
Stability ≥0.247 High confidence (96.4% sens.)
Probing ≥0.33 Medium (GRIA2-like)
Probing ≥0.457 High confidence
GTEx ≥0.251 High confidence (93.8% sens.)
Stability ≥0.247 High confidence (96.4% sens.)
Probing ≥0.33 Medium (GRIA2-like)
Probing ≥0.457 High confidence
Reactivity ROC-AUC Color Coding:
≥0.7 Good discrimination
0.5-0.7 Moderate discrimination
<0.5 Poor discrimination
≥0.7 Good discrimination
0.5-0.7 Moderate discrimination
<0.5 Poor discrimination
Warning Indicators:
⚠️ Low confidence (high ROC with few data points)
⚡ Low statistical power (<0.5)
★ Consider both warnings when present
⚠️ Low confidence (high ROC with few data points)
⚡ Low statistical power (<0.5)
★ Consider both warnings when present
Row Highlighting:
High quality (power >0.5 & both arms ROC >0.7)
Low quality (power >0.5 & both arms ROC <0.5)
High quality (power >0.5 & both arms ROC >0.7)
Low quality (power >0.5 & both arms ROC <0.5)
Interpretation Tips:
• ML scores predict dsRNA formation likelihood
• ROC-AUC validates with experimental data
• Consider both computational & experimental evidence
• Check sample size (n) for reliability
• ML scores predict dsRNA formation likelihood
• ROC-AUC validates with experimental data
• Consider both computational & experimental evidence
• Check sample size (n) for reliability
ROC-AUC measures how well chemical reactivity distinguishes paired from unpaired nucleotides. Higher values indicate better agreement with predicted structure.
Select a dsRNA from the table to view its structure
Select Reactivity Experiment
Predicted dsRNA Structure
Key Structural Properties
Length
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RNAduplex Length
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Loop
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Energy
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Longest Helix
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% Paired
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Genomic Context
Select a dsRNA to view genomic context
Local Folding (RNAfold) - Alternative Hypothesis
(with MFE energies)
Arm i (5')
Arm j (3')