Riepe Benchmark Data for Splice Prediction Tools

Riepe benchmark data is a 5.5 MB collection for evaluating computational tools that predict RNA splicing events. The data is hosted on GitHub and was last updated on May 13, 2026. Author Nathan Fortier released it under a CC-BY-4.0 license.

Use Cases

• Benchmarking splice prediction algorithm performance based on the described benchmark data.
• Training machine learning models for genomic sequence analysis based on splicing features.
• Comparing the accuracy of different bioinformatics tools using a standardized evaluation dataset.

Strengths

• Data is licensed under the permissive CC-BY-4.0 license.
• The 5.5 MB file size suggests a focused and manageable dataset for download and analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale training.

Provenance

Source

GitHub repository 'cmbi/Benchmarking_splice_prediction_tools'.

Freshness

Last updated 2026-05-13 17:42:53