Natural-language control layer for DeepGeSeq (DGS), a deep learning toolkit for genomic sequence analysis. Use when the user asks to call DGS/DeepGeSeq from conversation, create or validate DGS JSON configs, run DGS CLI modes (`config`, `run`, `train`, `evaluate`, `explain`, `predict`), train/evaluate sequence models from FASTA/BED/BigWig data, interpret models with motif/attribution workflows, predict variant effects from VCF, use DGS Python APIs, inspect supported DGS models/data loaders, or handle Chinese requests such as DGS包调用、自然语言运行DGS、训练模型、评估模型、变异效应预测、解释模型、生成配置文件、检查DGS配置.
2026-07-02