Efficient data filtering is critical to making sense of your analysis. OpenCRAVAT offers eight customizable filtering options to help you zero in on meaningful results:
- Filter by gene names to focus on specific targets.
- Narrow by variant type (e.g., missense or frameshift).
- Set thresholds for pathogenicity scores like REVEL or CADD.
- Use population frequency filters to flag rare variants.
- Exclude variants found in controls using dbSNP.
- Prioritize by conservation scores such as PhyloP.
- Explore gene-disease associations for relevance.
- Apply cross-database filters to ensure robust findings.
Take advantage of these tools to make your data more actionable.
👉 Learn more about filtering options
