Pathological nsSNPs Predicted by META-SNP, ESNP&GO, and PANTHER

A list of nonsynonymous single nucleotide polymorphisms predicted to be pathological by three bioinformatics tools: META-SNP, ESNP&GO, and PANTHER. The dataset was authored by Arwa Ibrahim Alwabran and is available on figshare under a CC-BY-4.0 license. It is a small dataset, 5.5 KB in size, stored in an XLS file.

Use Cases

• Benchmarking variant classification algorithms based on predictions from three established tools.
• Identifying candidate pathogenic mutations for further experimental validation.
• Cross-referencing predictions from META-SNP, ESNP&GO, and PANTHER to assess consensus.
• Training or testing machine learning models for SNP pathogenicity prediction.

Strengths

• Provides predictions from three distinct bioinformatics tools, allowing for comparative analysis.
• Released under a permissive CC-BY-4.0 license for open reuse.
• File size is 5.5 KB, indicating a focused and manageable list.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The description is minimal, lacking details on the specific criteria or version of the prediction tools used.
• Freshness should be verified; the last update timestamp is 2026-05-21 17:28:54.

Provenance

Source

figshare

Freshness

Last updated 2026-05-21 17:28:54