
Hi-C (genomic analysis technique) - Wikipedia
Analyses of Hi-C data not only reveal the overall genomic structure of mammalian chromosomes, but also offer insights into the biophysical properties of chromatin as well as more specific, long-range contacts between distant genomic elements (e.g. between genes and regulatory elements), [4] [5] [6] including how these change over time in ...
Hi-C data Browser - Northwestern University
Choose the region to show Hi-C interactions: Simply load your UCSC or WashU session link, and then copy and paste the URL in the textbox. 3D genome browser, Hi-C browser, ChIA-PET browser, Capture Hi-C browser.
Hi-C Data Sets and Studies on the 4DN Portal
Below is a summary of the Hi-C data sets on the 4DN Data Portal. In addition to data generated by the 4DN Network, the Portal hosts reference data sets from landmark publications. Uniformly processed results for both 4DN and External data are available for download on the Browse page and can be visualized in the 4DN Visualization Workspace .
Hi-C 测序技术(图解详解) - 知乎 - 知乎专栏
Hi-C 技术源于基因组捕获技术(Chromosome conformation capture, 3C),是分析染色质三维空间结构的一种测序方法,用于研究三维基因组。 什么是三维基因组? 用途: 1、甲醛固定. 先加入甲醛将基因组中参与染色质互作作用的蛋白质凝固。 一般将活体样本在室温用 1-3%的甲醛处理 10-30min,但是此步骤会减少限制内切酶对DNA序列的消化效率,需要严格控制。 2、酶切序列. 用限制性内切酶切割基因组,打断后的片段大小会影响测序分辨率,一般有两种酶可供选 …
3D Genome browser: visualize Hi-C, ChIA-PET, HiCHiP, PLAC-Seq, …
Welcome to 3D Genome Browser, where you can join 50,000 other users from over 100 countries to explore chromatin interaction data, such as Hi-C, ChIA-PET, Capture Hi-C, PLAC-Seq, and more. Up till Dec. 2017, we have been visited more than 500,000 times!
「Workshop」第二十五期:HiC 数据处理简介 - 知乎
Hi-C技术源于染色体构象捕获(Chromosome Conformation Capture, 3C)技术,利用 高通量测序 技术,结合生物信息分析方法, 研究全基因组范围内整个染色质DNA在空间位置上的关系,获得高分辨率的染色质三维结构信息。 通过 Scaffold 间的交互频率大小,可以对已组装的基因组序列进行纠错。 基因信息不再仅仅是contig片段,而是被划分至染色体上,成为染色体水平。 无需辛苦的构建群体,单一一个体就能实现染色体定位。 相比遗传图谱,标记密度更大,序列定位更完整 …
GitHub - mdozmorov/HiC_data: A (continuously updated) …
HiChIPdb - database of H3K27ac HiChIP experiments, human. 200 high-throughput HiChIP samples across 108 cell types. Interactions annotated with regulatory genes and GWAS catalog SNPs. Uniform processing with HiC-Pro, hg19, loop calling with FitHiChIP and Hichipper. Download of subsets and all data.
MWSchmid/HiCdat: Hi-C data analysis tool - GitHub
pre-processing data (reduced data set, ~5 Gb) IMPORTANT: The function for the correlated HiC interaction matrix is slightly different to the one we used in the original article on the KNOT in Arabidopsis .
HiC Data Standards and Processing Pipeline - ENCODE
Hi-C is an assay that uses DNA-DNA proximity ligation to identify long range chromatin contacts in an unbiased, genome-wide fashion. This gives insight about the 3D architecture of the genome inside the nucleus. In a typical Hi-C assay, cells are fixed, causing loci in close spatial proximity to be cross-linked with one another.
Hi-C Data Analysis: Methods and Protocols | SpringerLink
This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis.