Computational Biology Unit, Uni Computing, Uni Research AS, N-5020 Bergen, Norway.
Nucleic Acids Res. 2013 Jul;41(13):e132. doi: 10.1093/nar/gkt373. Epub 2013 May 13.
The coupling of chromosome conformation capture (3C) with next-generation sequencing technologies enables the high-throughput detection of long-range genomic interactions, via the generation of ligation products between DNA sequences, which are closely juxtaposed in vivo. These interactions involve promoter regions, enhancers and other regulatory and structural elements of chromosomes and can reveal key details of the regulation of gene expression. 3C-seq is a variant of the method for the detection of interactions between one chosen genomic element (viewpoint) and the rest of the genome. We present r3Cseq, an R/Bioconductor package designed to perform 3C-seq data analysis in a number of different experimental designs. The package reads a common aligned read input format, provides data normalization, allows the visualization of candidate interaction regions and detects statistically significant chromatin interactions, thus greatly facilitating hypothesis generation and the interpretation of experimental results. We further demonstrate its use on a series of real-world applications.
染色体构象捕获(3C)与下一代测序技术相结合,通过在体内紧密毗邻的 DNA 序列之间产生连接产物,实现了长程基因组相互作用的高通量检测。这些相互作用涉及启动子区域、增强子和染色体的其他调节和结构元件,并可以揭示基因表达调控的关键细节。3C-seq 是检测一个选定的基因组元件(观察点)与基因组其余部分之间相互作用的方法的变体。我们提出了 r3Cseq,这是一个 R/Bioconductor 包,旨在执行多种不同实验设计的 3C-seq 数据分析。该软件包读取常见的对齐读取输入格式,提供数据归一化,允许候选相互作用区域的可视化,并检测统计学上显著的染色质相互作用,从而极大地促进了假设的产生和实验结果的解释。我们进一步在一系列真实应用中展示了它的使用。