IHEC DEEP Release August 2016 - EGA European Genome-Phenome Archive

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001002527	DEEP (German Epigenome Project) sequence data of following samples (Sequencing Types: Chip-Seq, WGBS-Seq, RNA-Seq, sncRNA-Seq, NOMe-Se, DNase-Seq): 41_Hf01_LiHe_Ct, 41_Hf02_LiHe_Ct, 41_Hf03_LiHe_Ct, 01_HepG2_LiHG_Ct1, 01_HepG2_LiHG_Ct2, 01_HepaRG_LiHR_D31, 01_HepaRG_LiHR_D32, 01_HepaRG_LiHR_D33, 43_Hm01_BlMo_Ct, 43_Hm03_BlMo_Ct, 43_Hm05_BlMo_Ct, 43_Hm03_BlMa_Ct, 43_Hm05_BlMa_Ct, 43_Hm03_BlMa_TO, 43_Hm05_BlMa_TO, 43_Hm03_BlMa_TE, 43_Hm05_BlMa_TE, 51_Hf01_BlCM_Ct, 51_Hf03_BlCM_Ct, 51_Hf04_BlCM_Ct, 51_Hf02_BlCM_Ct, 51_Hf05_BlCM_Ct, 51_Hf06_BlCM_Ct, 51_Hf06_BlCM_T1, 51_Hf06_BlCM_T2, 51_Hf03_BlEM_Ct, 51_Hf04_BlEM_Ct, 51_Hf02_BlEM_Ct, 51_Hf05_BlEM_Ct, 51_Hf06_BlEM_Ct, 51_Hf06_BlEM_T1, 51_Hf06_BlEM_T2, 51_Hf03_BlTN_Ct, 51_Hf04_BlTN_Ct, 51_Hf02_BlTN_Ct, 51_Hf05_BlTN_Ct, 51_Hf06_BlTN_Ct, 51_Hf06_BlTN_T1, 51_Hf06_BlTN_T2, 51_Hf07_BmTM4_Ct, 51_Hf08_BlTM4_Ct, 51_Hf08_BmTM4_SP1, 51_Hf08_BmTM4_SP2, 51_Hf05_BlTA_Ct, 44_Mm01_WEAd_C2, 44_Mm03_WEAd_C2, 44_Mm02_WEAd_C2, 44_Mm07_WEAd_C2, 44_Mm04_WEAd_C1, 44_Mm05_WEAd_C1	Illumina HiSeq 2000 Illumina HiSeq 2500	46
EGAD00001002735	mRNA, total RNA, small noncoding RNA, NOMe-Seq and DNase-Seq data from following samples (not every Sequencing Type for every sample): 01_HepG2_LiHG_Ct1 41_Hf01_LiHe_Ct 41_Hf02_LiHe_Ct 41_Hf03_LiHe_Ct 51_Hf03_BlCM_Ct 51_Hf04_BlCM_Ct 51_Hf03_BlEM_Ct 51_Hf04_BlEM_Ct 51_Hf03_BlTN_Ct 51_Hf04_BlTN_Ct Metadata available at deep.dkfz.de	Illumina HiSeq 2000 Illumina HiSeq 2500	10
EGAD00001003259	Regions of common inter-individual DNA methylation differences in human monocytes – potential function and genetic basis WGBS Data of Samples: 43_Hm03_BlMo_Ct, 43_Hm02_BlMo_Ct, 43_Hm05_BlMo_Ct, 43_Hm01_BlMo_Ct For details about sequencing or sample metadata check http://deep.dkfz.de/	Illumina HiSeq 2000	4
EGAD00001005953	part of the DEEP project results resulted in the publication of 'Integrative analysis of single-cell expression data reveals distinct regulatory states in bidirectional promoters', Epigenetics & Chromatin (2018), Fatemeh et al., DOI: 10.1186/s13072-018-0236-7, PMID: 30414612, PMCID: PMC6230222. This dataset contains the subset of DEEP data related to that study.	Illumina HiSeq 2500	1

Publications	Citations
CRUP: a comprehensive framework to predict condition-specific regulatory units. Ramisch A, Heinrich V, Glaser LV, Fuchs A, Yang X, Benner P, Schöpflin R, Li N, Kinkley S, Römer-Hillmann A, Longinotto J, Heyne S, Czepukojc B, Kessler SM, Kiemer AK, Cadenas C, Arrigoni L, Gasparoni N, Manke T, Pap T, Pospisilik JA, Hengstler J, Walter J, Meijsing SH, Chung HR, Vingron M. Genome Biol 20: 2019 227	16
EPIGENE: genome-wide transcription unit annotation using a multivariate probabilistic model of histone modifications. Sahu A, Li N, Dunkel I, Chung HR. Epigenetics Chromatin 13: 2020 20	1
CpG content-dependent associations between transcription factors and histone modifications. Fischer J, Ardakani FB, Kattler K, Walter J, Schulz MH. PLoS One 16: 2021 e0249985	0
Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models. Grau J, Schmidt F, Schulz MH. Nucleic Acids Res 51: 2023 e95	4