该文章介绍了一个名为 scooby 的新型计算框架，它能够利用DNA序列在单细胞分辨率下对多模式基因组图谱进行建模，包括单细胞 RNA 测序覆盖率和染色质可及性。scooby 通过对预训练的多组学模型 Borzoi 进行精细调整并配备一个细胞特异性解码器来实现这一目标。研究人员表明，scooby 能够准确预测细胞特异性基因表达水平，识别谱系特异性调控因子，并且比现有方法更有效地推断转录因子活性。此外，scooby 在将批量表达数量性状位点（eQTL）分解为其细胞类型特异性效应方面表现出更高的准确性，有助于揭示基因调控的复杂机制。References: Hingerl, Johannes C., et al. "scooby: modeling multimodal genomic profiles from DNA sequence at single-cell resolution." Nature Methods (2025): 1-11.
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