BYSTRO AI

Review Your Search Results

After running any search, Bystro provides a quick summary of your results and tools to help you understand and refine your query. Learn how to interpret result counts, performance metrics, and use the information to improve your analysis.

Search Results Summary

Every search displays a simple summary showing exactly what was found and how quickly the search completed.

Search results summary showing variant count, gene count, and timing

The search results summary line provides instant feedback on your query scope and performance

Found 21,353 variants in 18 genes in 0.024s

21,353 variants

Total variants matching your search criteria

18 genes

Unique genes containing matching variants

0.024s

Query execution time

Pagination Information

Below the summary, pagination details help you navigate large result sets efficiently.

Page 1/2,136 (10 results per page)

You're viewing page 1 of 2,136 total pages, with 10 variants displayed per page. Adjust results per page or jump to specific pages as needed.

ClinVar Category Breakdown

Bystro automatically categorizes your variants by clinical significance. Click any category to filter your results.

ClinVar category breakdown showing pathogenic, benign, protective, and drug response variants

ClinVar category buttons provide quick filtering by clinical significance and risk level

Pathogenic

High / Moderate Risk

Disease-causing variants with established clinical evidence. These require immediate attention in clinical settings.

Benign

Low Risk

Variants with no known clinical significance. Often common population variants.

Protective

Reduces Risk

Variants that may provide protection against certain diseases. Less common but important for research.

Drug Response

Affects Drug Response

Pharmacogenomic variants affecting drug metabolism, efficacy, or adverse reactions.

Other Clinical

Variable Impact

Variants of uncertain significance (VUS) or with conflicting interpretations.

Filters and Aggregation Panel

The Filters and Aggregation panel summarizes results across all annotation fields. Click any field to see value distributions and apply filters.

Filters and Aggregation panel showing expandable field summaries

The Filters and Aggregation panel lets you explore data distributions and apply precise filters

Key Features

Expandable summaries for every annotation field
Value distributions and frequency counts
One-click filtering by clicking values
Real-time updates as you refine searches

Useful Field Categories

Basic fields: chrom, pos, type, alt
Gene info: refSeq.name2, refSeq.siteType
Population data: gnomAD frequencies
Clinical data: clinvarVcf.CLNSIG
Using the aggregation panel effectively

Start by expanding high-level fields like refSeq.siteType or clinvarVcf.CLNSIG to get an overview:

See the distribution of variant types (exonic, intronic, etc.)

Check clinical significance breakdown.

Identify most frequent genes or chromosomes.

Spot data quality issues or unexpected patterns.

Interpreting Your Results

Large Result Sets (10,000+)

May indicate a broad search — consider adding filters
Use ClinVar buttons to focus on pathogenic variants
Check aggregation panel for dominant categories
Filter by exonic variants to focus on coding changes

Small Result Sets (under 1,000)

Often ideal for detailed analysis
Review individual variants in detail
Use aggregation panel to understand data composition
Ready for export and further analysis
Query performance

Bystro's optimized indexing typically returns results in under 0.1 seconds, even for complex queries across large datasets. If queries take longer:

Check if you're using very broad search terms.

Consider breaking complex queries into smaller parts.

Use more specific field searches rather than general text search.

Next Steps After Review

Refine Your Search

Too many results? Add frequency thresholds, filter by variant impact, or specify genomic regions.

Sort and Prioritize

Sort by CADD scores, order by frequency, or group by gene or function.

Save Your Results

Save the search for later, export to analysis tools, or share with collaborators.

Reading variant vs gene counts together
Many variants in few genes suggests a focused search. Many variants across many genes indicates broader exploration that might benefit from additional filtering.