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.
Package details |
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Author | John Stansfield <stansfieldjc@vcu.edu>, Kellen Cresswell <cresswellkg@vcu.edu>, Mikhail Dozmorov <mikhail.dozmorov@vcuhealth.org> |
Bioconductor views | HiC Normalization Sequencing Software |
Maintainer | John Stansfield <stansfieldjc@vcu.edu>, Mikhail Dozmorov <mikhail.dozmorov@vcuhealth.org> |
License | MIT + file LICENSE |
Version | 1.12.0 |
URL | https://github.com/dozmorovlab/HiCcompare |
Package repository | View on Bioconductor |
Installation |
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