_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-hiccompare 1.28.0
Propagated dependencies: r-s4vectors@0.44.0 r-rhdf5@2.50.0 r-pheatmap@1.0.12 r-mgcv@1.9-1 r-kernsmooth@2.23-24 r-iranges@2.40.0 r-interactionset@1.34.0 r-gtools@3.9.5 r-gridextra@2.3 r-ggplot2@3.5.1 r-genomicranges@1.58.0 r-dplyr@1.1.4 r-data-table@1.16.2 r-biocparallel@1.40.0
Channel: guix-bioc
Location: guix-bioc/packages/h.scm (guix-bioc packages h)
Home page: https://github.com/dozmorovlab/HiCcompare
Licenses: Expat
Synopsis: HiCcompare: Joint normalization and comparative analysis of multiple Hi-C datasets
Description:

HiCcompare provides functions for joint normalization and difference detection in multiple Hi-C datasets. HiCcompare operates on processed Hi-C data in the form of chromosome-specific chromatin interaction matrices. It accepts three-column tab-separated text files storing chromatin interaction matrices in a sparse matrix format which are available from several sources. HiCcompare is designed to give the user the ability to perform a comparative analysis on the 3-Dimensional structure of the genomes of cells in different biological states.`HiCcompare` differs from other packages that attempt to compare Hi-C data in that it works on processed data in chromatin interaction matrix format instead of pre-processed sequencing data. In addition, `HiCcompare` provides a non-parametric method for the joint normalization and removal of biases between two Hi-C datasets for the purpose of comparative analysis. `HiCcompare` also provides a simple yet robust method for detecting differences between Hi-C datasets.

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