HiCPlotter integrates genomic data with interaction matrices.
HiCPlotter integrates genomic data with interaction matrices.
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DOI：
10.1186/s13059-015-0767-1
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发表时间：
2015-09-21
期刊：
影响因子：
12.3
通讯作者：
Chin L
中科院分区：
文献类型：
--
作者：
Akdemir KC;Chin L
后生动物的基因组物质折叠成稳定的非随机排列的染色体结构，与转录调控和DNA复制密切相关。包括多能性调节因子、长非编码RNA或结构蛋白的存在在内的各种因素已经涉及染色质结构的调节和组装。因此，这种多方面结构的全面可视化对于解开核结构与转录调控之间的联系非常重要。在这里，我们提出了一个易于使用的开源可视化工具HiCPlotter，以促进Hi-C矩阵与不同的基因组检测输出的并列，以及比较各种条件之间的相互作用矩阵。https://github.com/kcakdemir/HiCPlotter本文的在线版本（doi：10.1186/s13059-015-0767-1）包含补充材料，授权用户可以使用。
Metazoan genomic material is folded into stable non-randomly arranged chromosomal structures that are tightly associated with transcriptional regulation and DNA replication. Various factors including regulators of pluripotency, long non-coding RNAs, or the presence of architectural proteins have been implicated in regulation and assembly of the chromatin architecture. Therefore, comprehensive visualization of this multi-faceted structure is important to unravel the connections between nuclear architecture and transcriptional regulation. Here, we present an easy-to-use open-source visualization tool, HiCPlotter, to facilitate juxtaposition of Hi-C matrices with diverse genomic assay outputs, as well as to compare interaction matrices between various conditions. https://github.com/kcakdemir/HiCPlotter The online version of this article (doi:10.1186/s13059-015-0767-1) contains supplementary material, which is available to authorized users.