Pangolin RNA Splicing Prediction
Pangolin is a deep learning model to predict splice site strength and the impact of genetic variants on RNA splicing in multiple tissues.
Overview
Pangolin is a deep learning model that predicts RNA splicing from DNA sequence with high accuracy. It outperforms state-of-the-art methods in predicting splice site strength across multiple tissues (heart, liver, brain, and testis). By training on data from four species (human, rhesus macaque, rat, and mouse), Pangolin effectively predicts the impact of common, rare, and lineage-specific genetic variants on RNA splicing. It shows remarkable potential for identifying pathogenic, loss-of-function mutations, especially those that are not missense or nonsense, making it a valuable tool for interpreting disease-causing variants.
Run Pangolin RNA Splicing Prediction on Neurosnap
The Pangolin RNA Splicing Prediction online webserver allows anybody with a Neurosnap account to run and access Pangolin RNA Splicing Prediction, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- Predicts splice site probability and usage for four organs: heart, liver, brain, and testis.
- Trained on sequence and RNA splicing data from four different species: human, rhesus macaque, mouse, and rat.
- Outperforms existing methods like SpliceAI, MMSplice, and HAL on splice site prediction.
- Accurately predicts the effects of rare and common genetic variants on RNA splicing.
- Identifies loss-of-function (LOF) mutations with high precision and recall, aiding in the identification of pathogenic variants.
- Models epistatic effects, enabling accurate prediction for combinations of genetic variants.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
| Statistic | Value |
|---|---|
| Credit Usage Rate | loading... |
| Estimated Total Cost | loading... |
| Runtime Mean | loading... |
| Runtime Median | loading... |
| Runtime Standard Deviation | loading... |
| Runtime 90th Percentile | loading... |
| Runtime Longest | loading... |
API Request
Access Pangolin RNA Splicing Prediction using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
Similar Tools
Explore tools with similar features, categories, and use cases.
Citations
Please cite the original work when using Pangolin RNA Splicing Prediction in publications or research outputs.
|
Zeng, T., Li, Y.I. Predicting RNA splicing from DNA sequence using Pangolin. Genome Biol 23, 103 (2022). https://doi.org/10.1186/s13059-022-02664-4 |
|
Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |