工具 API
alphagenome_ predictor
Predict variant effects on gene regulation using Google DeepMind's AlphaGenome. ⚠️ PREREQUISITE: Use the 'think' tool FIRST to plan your analysis strategy! AlphaGenome provides state-of-the-art predictions for how genetic variants affect gene regulation, including: - Gene expression changes (RNA-seq) - Chromatin accessibility impacts (ATAC-seq, DNase-seq) - Splicing alterations - Promoter activity changes (CAGE) This tool requires: 1. AlphaGenome to be installed (see error message for instructions) 2. An API key from https://deepmind.google.com/science/alphagenome API Key Options: - Provide directly via the api_key parameter - Or set ALPHAGENOME_API_KEY environment variable Example usage: - Predict regulatory effects of BRAF V600E mutation: chr7:140753336 A>T - Assess non-coding variant impact on gene expression - Evaluate promoter variants in specific tissues Note: This is an optional tool that enhances variant interpretation with AI predictions. Standard annotations remain available via variant_getter.
调用信息
- 工具标识
- biomcp.alphagenome_predictor
- 服务提供方
- 生物医学研究
- 平均响应
- 0 ms
- 近 7 天调用
- 0
输入参数
chromosome必填Chromosome (e.g., 'chr7', 'chrX')
position必填1-based genomic position of the variant
reference必填Reference allele(s) (e.g., 'A', 'ATG')
alternate必填Alternate allele(s) (e.g., 'T', 'A')
interval_sizeSize of genomic interval to analyze in bp (max 1,000,000)
tissue_typesUBERON ontology terms for tissue-specific predictions (e.g., 'UBERON:0002367' for external ear)
significance_thresholdThreshold for significant log2 fold changes (default: 0.5)
api_keyAlphaGenome API key. Check if user mentioned 'my AlphaGenome API key is...' in their message. If not provided here and no env var is set, user will be prompted to provide one.