HiCUP: pipeline for mapping and processing Hi-C data

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HiCUP: pipeline for mapping and processing Hi-C data

创建时间：

2015-10-29

HiCUP: pipeline for mapping and processing Hi-C data. Mus musculus

HiCUP is a pipeline for processing sequence data generated by Hi-C, a technique used to investigate the three-dimensional organisation of a genome. The pipeline maps data to a specified reference geno

NIAID Data Ecosystem50

Mapping statistics for Hi-C data.

The human genome is pervasively transcribed and produces a wide variety of long non-coding RNAs (lncRNAs), constituting the majority of transcripts across human cell types. Some specific nuclear lncRN

Figshare2024-05-06 更新00

Hi-C data.

Epstein-Barr virus (EBV) uses latency programs to colonize the memory B-cell reservoir, and each program is associated with human malignancies. However, knowledge remains incomplete of epigenetic mech

NIAID Data Ecosystem20

Mapping statistics for Hi-C data.

NIAID Data Ecosystem10

Hi-C and Capture Hi-C maps in WT and Zfp661 knockout mESCs. Hi-C and Capture Hi-C maps in WT and Zfp661 knockout mESCs

In this assay, we aimed to investigate the impacts of ZFP661 on the permeability of CTCF barriers to chromatin interactions. To achieve this, we generated high-resolution Hi-C maps using WT and Zfp661

NIAID Data Ecosystem00