A new TAD prediction method: hicTADClassifier and a method to train own classifiers hicTrainTADClassifier. Thanks @AlbertLidel for the design and implementation. New file formats for capture Hi-C modules. chicViewpoint, chicSignificantInteractions, chicAggregateStatistic and chicDifferentialTest use now HDF5 based files. A new export script chicExportData is provided to retrieve text files from these HDF5 files. Implementing a few feature requests: hicPlotMatrix: TADs can be visualized with hicPlotMatrix hicAdjustMatrix is able to remove intra- or inter-chromosomal contacts (#664, #704) hicValidateLocations: An option to validate TADs and to use additional data stored in cool matrices hicPCA: Adding a function to select which eigenvector sh...
Abstract Background Chromatin ...
Release 2.0 will bring new features: Python 3.6 support cooler file format support PCA computation ...
We provided two datasets for testing Hi-C scaffolding tools. For the CHM13 test dataset, we randomly...
This beta version of release 2.2 contains: replaced hicExport by hicConvertFormat and hicAdjustMatr...
Major update for hicDetectLoops: Results are now closer to HiCCUPS, it is faster and needs less memo...
Adding the new captured Hi-C module. Viewpoint analysis based on a background model, significant int...
We are happy to announce the release of HiCExplorer version 2.2. Thanks for all the contributions: @...
Fixing many bugs: A bug in hicDetectLoops if a sub-matrix was very small A bug in hicPlotMatrix if t...
The 2.1 version of HiCExplorer comes with new features and bugfixes. Adding the new feature hicAggr...
Release 3.4 of HiCExplorer comes with improvements in the documentation and smaller bug fixes: Fixi...
Fixing a bug in hicHyperoptDetectLoops concerning the validation of the loop locations Fixing a bug ...
Bug fix release: enforcing version 15 of HiCMatrix. Version 14 had a bug concerning the application...
The newest HiCExplorer release is the first release to support only Python 3, Python 2 support is di...
Hi-C data has enabled the genome-wide study of chromatin folding, and has led to important discoveri...
Hi-C is commonly used to study three-dimensional genome organization. However, due to the high seque...
Abstract Background Chromatin ...
Release 2.0 will bring new features: Python 3.6 support cooler file format support PCA computation ...
We provided two datasets for testing Hi-C scaffolding tools. For the CHM13 test dataset, we randomly...
This beta version of release 2.2 contains: replaced hicExport by hicConvertFormat and hicAdjustMatr...
Major update for hicDetectLoops: Results are now closer to HiCCUPS, it is faster and needs less memo...
Adding the new captured Hi-C module. Viewpoint analysis based on a background model, significant int...
We are happy to announce the release of HiCExplorer version 2.2. Thanks for all the contributions: @...
Fixing many bugs: A bug in hicDetectLoops if a sub-matrix was very small A bug in hicPlotMatrix if t...
The 2.1 version of HiCExplorer comes with new features and bugfixes. Adding the new feature hicAggr...
Release 3.4 of HiCExplorer comes with improvements in the documentation and smaller bug fixes: Fixi...
Fixing a bug in hicHyperoptDetectLoops concerning the validation of the loop locations Fixing a bug ...
Bug fix release: enforcing version 15 of HiCMatrix. Version 14 had a bug concerning the application...
The newest HiCExplorer release is the first release to support only Python 3, Python 2 support is di...
Hi-C data has enabled the genome-wide study of chromatin folding, and has led to important discoveri...
Hi-C is commonly used to study three-dimensional genome organization. However, due to the high seque...
Abstract Background Chromatin ...
Release 2.0 will bring new features: Python 3.6 support cooler file format support PCA computation ...
We provided two datasets for testing Hi-C scaffolding tools. For the CHM13 test dataset, we randomly...