Arwa Ibrahim Alwaran's dataset reports SIFT functional impact predictions for nonsynonymous single nucleotide polymorphisms (nsSNPs) in the MBP gene. The 15.3 KB XLSX file contains classifications of variants as deleterious or tolerated based on the SIFT Tolerance Index. The dataset was last updated on May 21, 2026.
Use Cases
- Filtering deleterious variants for functional studies based on SIFT predictions.
- Benchmarking variant effect prediction tools against SIFT scores.
- Investigating the genetic basis of traits by correlating deleterious nsSNPs with phenotypes.
- Training machine learning models for variant classification using SIFT tolerance indices.
Strengths
- Dataset size is precisely 15.3 KB, indicating a focused scope.
- License is explicitly stated as CC-BY-4.0, ensuring clear reuse rights.
- Last update date is provided (2026-05-21), suggesting maintained relevance.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- figshare
- Collection Method
- Likely generated by computational prediction using the SIFT algorithm.
- Freshness
- Last updated 2026-05-21 17:28:26; freshness should be verified.