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Romulus: robust multi-state identification of transcription factor binding sites from DNase-seq data

机译:Romulus:DNase-seq数据对转录因子结合位点的强大多状态识别

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摘要

Motivation: Computational prediction of transcription factor (TF) binding sites in the genome remains a challenging task. Here, we present Romulus, a novel computational method for identifying individual TF binding sites from genome sequence information and cell-type-specific experimental data, such as DNase-seq. It combines the strengths of previous approaches, and improves robustness by reducing the number of free parameters in the model by an order of magnitude.
机译:动机:基因组中转录因子(TF)结合位点的计算预测仍然是一项艰巨的任务。在这里,我们介绍Romulus,这是一种从基因组序列信息和特定于细胞类型的实验数据(例如DNase-seq)中识别单个TF结合位点的新型计算方法。它结合了先前方法的优势,并通过将模型中的自由参数数量减少了一个数量级来提高了鲁棒性。

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