BioConductor
diffHic 1.12.1
Differential Analyis of Hi-C Data
Released Apr 21, 2018 by Aaron Lun
Dependencies
BSgenome 1.48.0 rhdf5 2.24.0 csaw 1.14.1 GenomeInfoDb 1.16.0 Rhtslib 1.12.1 S4Vectors 0.18.3 SummarizedExperiment 1.10.1 Rsamtools 1.32.3 edgeR 3.22.3 InteractionSet 1.8.0 Biostrings 2.48.0 GenomicRanges 1.32.6 BiocGenerics 0.26.0 zlibbioc 1.26.0 IRanges 2.14.10 limma 3.36.2 Rcpp locfit 1.5-9.1
Detects differential interactions across biological conditions in a Hi-C experiment. Methods are provided for read alignment and data pre-processing into interaction counts. Statistical analysis is based on edgeR and supports normalization and filtering. Several visualization options are also available.