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multiHiCcompare: joint normalization and comparative analysis of complex Hi-C experiments

机译:多种:复合高C实验的联合标准化和对比分析

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Motivation: With the development of chromatin conformation capture technology and its high-throughput derivative Hi-C sequencing, studies of the three-dimensional interactome of the genome that involve multiple Hi-C datasets are becoming available. To account for the technology-driven biases unique to each dataset, there is a distinct need for methods to jointly normalize multiple Hi-C datasets. Previous attempts at removing biases from Hi-C data have made use of techniques which normalize individual Hi-C datasets, or, at best, jointly normalize two datasets.
机译:动机:随着染色质构象捕获技术的发展及其高通量衍生物HI-C测序,涉及多个HI-C数据集的基因组的三维偶联的研究变得可用。 要考虑到每个数据集唯一的技术驱动的偏见,对于联合归一化多个Hi-C数据集,有一个不同的方法。 以前从Hi-C数据删除偏差的尝试已经利用了标准化单个Hi-C数据集的技术,或者最多联合标准化两个数据集。

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