Add to ORKGHiCUP: pipeline for mapping and processing Hi-C data [version 1; referees: 2 approved, 1 approved with reservations
Matrix statistics. Normalized Hi-C counts are presented as a function of the distance between the in...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
Promoter capture HiC data generated from SN4741 cells. The HiCUP/CHiCAGO analysis was run five total...
HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experime...
HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experime...
HiCUP is a bioinformatics pipeline for processing Hi-C data. For full instructions on how to use H...
A Hi-C analysis pipeline which:• Performs all Hi-C analysis steps • Incorporates TAD calling/bou...
Adding the new captured Hi-C module. Viewpoint analysis based on a background model, significant int...
International audienceHiC-Pro is an optimized and flexible pipeline for processing Hi-C data from ra...
First version of nf-core Hi-C pipeline based on the HiC-Pro pipeline. The current version supports m...
Supplementary materials as part of the paper "Algorithmic considerations when analysing capture Hi-C...
PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies [version 2; referees:...
Abstract Background Chromatin ...
Energy efficiency as a unifying principle for human, environmental, and global health [version 1; re...
HiC-Pro is an optimized and flexible pipeline for processing Hi-C data from raw reads to normalized ...
Matrix statistics. Normalized Hi-C counts are presented as a function of the distance between the in...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
Promoter capture HiC data generated from SN4741 cells. The HiCUP/CHiCAGO analysis was run five total...
HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experime...
HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experime...
HiCUP is a bioinformatics pipeline for processing Hi-C data. For full instructions on how to use H...
A Hi-C analysis pipeline which:• Performs all Hi-C analysis steps • Incorporates TAD calling/bou...
Adding the new captured Hi-C module. Viewpoint analysis based on a background model, significant int...
International audienceHiC-Pro is an optimized and flexible pipeline for processing Hi-C data from ra...
First version of nf-core Hi-C pipeline based on the HiC-Pro pipeline. The current version supports m...
Supplementary materials as part of the paper "Algorithmic considerations when analysing capture Hi-C...
PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies [version 2; referees:...
Abstract Background Chromatin ...
Energy efficiency as a unifying principle for human, environmental, and global health [version 1; re...
HiC-Pro is an optimized and flexible pipeline for processing Hi-C data from raw reads to normalized ...
Matrix statistics. Normalized Hi-C counts are presented as a function of the distance between the in...
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data
Promoter capture HiC data generated from SN4741 cells. The HiCUP/CHiCAGO analysis was run five total...