Project description:This dataset consists of in situ HiC-seq data from a human oesophageal adenocarcinoma cell line (OE19). In total, the dataset includes 2 biological replicated samples. The Hi-C sample and library preparations were generated using Arima-HiC Kit (A510008, ARIMA Genomics) and Arima Library Prep module (A303011, ARIMA Genomics), respectively.
Project description:High resolution HiC libraries are usually lightly sequenced before investing in a deep sequencing. We modeled HiC resolution in function of the sequencing depth to predict accurately the resolution of any high resolution HiC library given a small sequnecing batch of the library. To test our tool, we used public datasets as well as a newly generated dataset using Arima kit on mouse purified rods photoreceptors.
Project description:To understand the cell-type specific regulatory architectures of diabetes risk, we generated transcriptomic and 3D epigenomic profiles from sorted human pancreatic acinar, alpha, and beta cells using Arima Hi-C.
