Code supporting Beitel et al. (2014) regarding strain- and plasmid-level metagenome deconvolution using high-throughput chromosome conformation capture.
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Updated
May 29, 2016 - R
Code supporting Beitel et al. (2014) regarding strain- and plasmid-level metagenome deconvolution using high-throughput chromosome conformation capture.
An R shiny application for visualization of EndoC-bH1 and human islet genomic data
An archived version of the InteractionSet repository, see https://github.com/LTLA/InteractionSet for the active version.
7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
Processed data set of Miura et al., Nature Genetics, 2019
Joint normalization of two Hi-C matrices, visualization and detection of differential chromatin interactions. See multiHiCcompare for the analysis of multiple Hi-C matrices
HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides a R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms.
Adjacency-constrained hierarchical clustering of a similarity matrix
dcHiC: Differential compartment analysis for Hi-C datasets
GENome Organisation Visual Analytics
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