Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions [H3K4me3]
In the current study we performed characterization of 18 different in vitro models of  high-grade serous (HGSOC), low-grade serous (LGSOC), mucinous (MOC), endometrioid (ENOC) and clear cell (CCOC) carcinoma. This study seeks to fill in this gap by generating an integrative Ovarian Cancer Regulatory Atlas (OCRA) of 18 ovarian normal and cancer cells profiled for epigenomic, transcriptomic, chromatin state and chromatin looping signatures. Overall design: Chromatin Immuno Precipitation DNA Sequencing (ChIP-Seq) for histone modifications H3K4me3 was performed in 18 cell lines. Please note that each processed data file was generated from *ChIP and *input samples together and is linked to the corresponding ChIP (or *A, if replicates) sample records.