HiCcompare-package: HiCcompare
In HiCcompare: 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.
Details
To learn more about HiCcompare, start with the vignettes:
'browseVignettes(package = "HiCcompare")'
Author(s)
Maintainer: John Stansfield stansfieldjc@vcu.edu
Authors:
Kellen Cresswell cresswellkg@vcu.edu
Mikhail Dozmorov mikhail.dozmorov@vcuhealth.org
HiCcompare documentation built on Nov. 8, 2020, 8:26 p.m.
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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.
Details
To learn more about HiCcompare, start with the vignettes: 'browseVignettes(package = "HiCcompare")'
Author(s)
Maintainer: John Stansfield stansfieldjc@vcu.edu
Authors:
Kellen Cresswell cresswellkg@vcu.edu
Mikhail Dozmorov mikhail.dozmorov@vcuhealth.org
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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