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Cortexa research tool·genomics·spliceai
SpliceAI Predict Splice
Predict splice-altering effects using SpliceAI deep learning model. Returns delta scores for acceptor gain (DS_AG), acceptor loss (DS_AL), donor gain (DS_DG), donor loss (DS_DL). Scores ≥0.2 suggest splice impact, ≥0.5 moderate, ≥0.8 high pathogenicity. Critical for intronic/exonic variant interpretation.
Livelast probed 2026-04-30 23:07Z· 105msCortexa
Status
The most recent probe succeeded. Safe to call from the agent today.
- Last probed
- 1d ago
- Last success
- 1d ago
- Last latency
- 105ms
Schema
JSON Schema the agent (or your API call) must match.
{
"properties": {
"distance": {
"default": 50,
"description": "Distance parameter for model (default: 50). Larger values capture more distal effects.",
"type": "integer"
},
"genome": {
"default": "38",
"description": "Genome build: 37 (GRCh37/hg19) or 38 (GRCh38/hg38). Default: 38",
"enum": [
"37",
"38"
],
"type": "string"
},
"mask": {
"default": false,
"description": "Use masked scores (recommended for variant interpretation). Raw scores better for alternative splicing analysis.",
"type": "boolean"
},
"variant": {
"description": "Variant in chr-pos-ref-alt format (e.g., chr8-140300616-T-G) or colon-separated",
"type": "string"
}
},
"required": [
"variant"
],
"type": "object"
}Examples (1)
Default SpliceAI Predict Splice call
public-safeinput
{
"distance": 1,
"mask": false,
"variant": ""
}Expected response keys: success
Anonymous-safe example. Rate-limited; no sign-in required.
Identifiers
- Catalog ID
- tu_SpliceAI_predict_splice
- Tool name
- SpliceAI_predict_splice
- Added
- 2026-04-30 22:47Z
- Tags
- tooluniverse