Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nucleic Acids Res. 2019 Apr 8;47(6):e35. doi: 10.1093/nar/gkz051.
Chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) is a method for the genome-wide de novo discovery of chromatin interactions. Existing computational methods typically fail to detect weak or dynamic interactions because they use a peak-calling step that ignores paired-end linkage information. We have developed a novel computational method called Chromatin Interaction Discovery (CID) to overcome this limitation with an unbiased clustering approach for interaction discovery. CID outperforms existing chromatin interaction detection methods with improved sensitivity, replicate consistency, and concordance with other chromatin interaction datasets. In addition, CID also outperforms other methods in discovering chromatin interactions from HiChIP data. We expect that the CID method will be valuable in characterizing 3D chromatin interactions and in understanding the functional consequences of disease-associated distal genetic variations.
基于配对末端标签测序的染色质互作分析(ChIA-PET)是一种用于全基因组范围内发现染色质互作的新方法。现有的计算方法通常无法检测到弱或动态的相互作用,因为它们使用了一个忽略了配对末端连接信息的峰调用步骤。我们开发了一种新的计算方法,称为染色质互作发现(CID),通过一种无偏的聚类方法来克服这个限制,从而进行互作发现。CID 具有更高的灵敏度、复制一致性和与其他染色质互作数据集的一致性,优于现有的染色质相互作用检测方法。此外,CID 还在从 HiChIP 数据中发现染色质相互作用方面优于其他方法。我们预计 CID 方法将在描述 3D 染色质相互作用和理解与疾病相关的远端遗传变异的功能后果方面具有重要价值。