batch_modality_screen
Rank multiple genetic variants by predicted impact on a chosen modality (expression, splicing, TF binding, chromatin) for batch screening and research prioritization.
Instructions
Rank several variants by predicted effect within one modality: expression (RNA_SEQ, CAGE), splicing (SPLICE_SITES, SPLICE_SITE_USAGE), tf_binding (CHIP_TF) or chromatin (DNASE, ATAC).
Runs live inference (score_variant with the SDK's recommended variant scorers); works for single-nucleotide variants, indels and multi-nucleotide variants. The result states source: live.
Results are AlphaGenome model predictions for research prioritization, not clinical classifications: scores and calibrated quantiles are reported as returned, and no pathogenic/benign call is made.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| modality | Yes | ||
| variants | Yes | Variants to score (1-100) |