Adding the new captured Hi-C module. Viewpoint analysis based on a background model, significant interaction detection and differential analysis are provided. Thanks to @rgilsbach and @DonStephano . Adding documentation for captured Hi-C module and a tutorial on how to use it. Adding a module to be able to detect quite fast the quality of a Hi-C data set: hicQuickQC. Adding a tool to merge loops of different resolutions. Improving validation of locations: Presorting is no longer necessary; adding feature to add 'chr' prefix to loop or protein chromosome name Change loop detection slightly to improve results and fixed bugs: preselection p-value was ignored and only p-value was used adding additional test to the peak region test to decrease ...
Abstract Background Chromatin ...
Bug fix release: enforcing version 15 of HiCMatrix. Version 14 had a bug concerning the application...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
Major update for hicDetectLoops: Results are now closer to HiCCUPS, it is faster and needs less memo...
The newest HiCExplorer release is the first release to support only Python 3, Python 2 support is di...
A new TAD prediction method: hicTADClassifier and a method to train own classifiers hicTrainTADClass...
The 2.1 version of HiCExplorer comes with new features and bugfixes. Adding the new feature hicAggr...
This new release updates HiCExplorer to version 3.1: Improved memory handling for hicCorrectMatrix ...
Fixing many bugs: A bug in hicDetectLoops if a sub-matrix was very small A bug in hicPlotMatrix if t...
HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experime...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
The High-throughput Chromosome Conformation Capture (Hi-C) technique combines the power of the Next ...
HiC-bench: a Hi-C analysis pipeline that allows combinatorial parameter exploration and benchmarking...
Fixing a bug in hicHyperoptDetectLoops concerning the validation of the loop locations Fixing a bug ...
Abstract Background Chromatin ...
Bug fix release: enforcing version 15 of HiCMatrix. Version 14 had a bug concerning the application...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
Major update for hicDetectLoops: Results are now closer to HiCCUPS, it is faster and needs less memo...
The newest HiCExplorer release is the first release to support only Python 3, Python 2 support is di...
A new TAD prediction method: hicTADClassifier and a method to train own classifiers hicTrainTADClass...
The 2.1 version of HiCExplorer comes with new features and bugfixes. Adding the new feature hicAggr...
This new release updates HiCExplorer to version 3.1: Improved memory handling for hicCorrectMatrix ...
Fixing many bugs: A bug in hicDetectLoops if a sub-matrix was very small A bug in hicPlotMatrix if t...
HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experime...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
The High-throughput Chromosome Conformation Capture (Hi-C) technique combines the power of the Next ...
HiC-bench: a Hi-C analysis pipeline that allows combinatorial parameter exploration and benchmarking...
Fixing a bug in hicHyperoptDetectLoops concerning the validation of the loop locations Fixing a bug ...
Abstract Background Chromatin ...
Bug fix release: enforcing version 15 of HiCMatrix. Version 14 had a bug concerning the application...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data