11932 results for "cancer rna-seq"

in 22.66 milliseconds.

• Transcriptomic intra-tumor heterogeneity of colorectal cancer varies depending on tumor location within the colorectum

  Background; Intra-tumor heterogeneity (ITH) of colorectal cancer (CRC) complicates molecular tumor classification, such as transcriptional subtyping. Differences in cellular states, biopsy cell composition, and tumor microenvironment may all lead to ITH. Here we analyze ITH at the transcriptomic and proteomic levels to ascertain whether subtype discordance between multiregional biopsies reflects relevant biological ITH or lack of classifier robustness. Further, we study the impact of tumor location on ITH.MethodsMultiregional biopsies from stage II and III CRC tumors were analyzed by RNA sequencing (41 biopsies, 14 tumors) and multiplex immune protein analysis (89 biopsies, 29 tumors). CRC subtyping were performed using consensus molecular subtypes (CMS), CRC intrinsic subtypes (CRIS), and TUMOR types. ITH-scores and network maps were defined to determine the origin of heterogeneity. A validation cohort was used with one biopsy per tumor (162 tumors).ResultsOverall, inter-tumor transcriptional variation exceeded ITH, and subtyping calls were frequently concordant between multiregional biopsies. Still, some tumors had high ITH and were classified discordantly. Proximal tumors showed ITH related to differences in the microenvironment, while ITH within distal tumors were cancer-cell related. This subtype discordancy reflected actual molecular ITH within the tumors. The relevance of the subtypes was reflected at protein level where several inflammation markers were significantly increased in immune related transcriptional subtypes, which was verified in an independent cohort (Wilcoxon rank sum test; p<0.05).ConclusionOur transcriptomic and proteomic analyses show that the tumor location along the colorectum influence the ITH of CRC, which again influence the concordance of subtyping.

  Study EGAS00001004668

• MTLE small RNA-sequencing and RNA-sequencing Data Access Committee

  Dac EGAC00001001427

• SEGA RNA-sequencing and small RNA-sequencing Data Access Commitee

  Dac EGAC00001001467

• Circulating RNA profiles of healthy and preeclamptic pregnancies

  This prospective study investigated whether circulating RNA (C-RNA; cell free RNA present in the bloodstream) measurements could non-invasively monitor pregnancy status, with emphasis on detecting molecular markers associated with preterm preeclampsia. Whole blood samples were collected from pregnant women at the time of diagnosis with early-onset preeclampsia with severe features. Blood samples were also obtained normotypical control pregnancies and from patients diagnosed with late-onset preeclampsia for comparison. For all samples, C-RNA was extracted from 4 mL blood and whole transcriptome enrichment performed on cDNA libraries prior to sequencing to a target depth of 50M reads on an Illumina HiSeq 2000 platform. Throughout the course of this work, whole transcriptome RNA sequencing data was obtained from 289 C-RNA samples collected from 178 subjects. The complete dataset consists of samples from the following cohorts: Illumina Preeclampsia Cohort (iPEC): 40 pregnancies at the time of early-onset preeclampsia diagnosis and 73 gestational age-matched controls PEARL preeclampsia cohort: 12 early-onset and 12 late-onset preeclampsia patients PEARL healthy control cohort: 152 longitundinal samples collected from 41 healthy pregnancies

  Study phs002017

• Dataset for RNA sequencing glioblastoma data

  This dataset contains RNA sequencing data of 36 glioblastoma samples. Sequencing was performed on Illumina NovaSeq 6000 using TruSeq Stranded RNA Kit. The sequencing was always paired.

  Dataset EGAD50000000688

• Genomic Characterization of Duke Melanoma Brain Metastases

  Previous work has shown that melanoma brain metastases (MBM) have a unique molecular profile compared to extracranial metastases (ECM). Description of the biology of MBM and associations between biological features and clinical outcomes will facilitate the design of rational therapies for patients with MBM. To better characterize the molecular profile of MBM, we conducted whole exome sequencing (WES) and total RNA sequencing on MBM tissues obtained from an independent cohort of 14 patients from Duke University Medical Center. This cohort adds valuable patient samples to the field and enables strengthened investigation of somatic mutations and gene expression profiles within and between cohorts. The mutational landscape and gene expression of MBM from the Duke cohort resembled those previously reported in a previously published dataset of WES and RNA sequencing in MBM and matched ECM tissues from UT MD Anderson Cancer Center (Fischer et al., 2019 30787016). Duke MBM demonstrated similar rates of mutations in genes associated with melanoma, including BRAF, NRAS, and PTEN, as the MD Anderson cohort. Immune populations in MBM were similar between Duke and MD Anderson MBM, though Duke samples demonstrated more resting CD4+ memory T cells. The ratio of M2 to M1 macrophages in the Duke cohort was similar to that of the MD Anderson cohort. In MBM, a higher M2:M1 ratio may contribute to an immune-suppressive tumor microenvironment. Sequencing data and sample attributes from MBM tissues obtained from 14 patients from Duke University Medical Center will be available through dbGaP.

  Study phs003009

• FASTQ Files from Breast Tumor Biopsies Collected Across Five Timepoints in the PROMETEO Phase II Trial

  The dataset contains RNA sequencing raw data from tumor biopsies collected at five time points during the SOLTI-1503 PROMETEO trial: baseline (pre-NAC), post-NAC screening, Cycle 2 Day 1, Cycle 3 Day 1, and surgery. The study intervention consisted of intratumoral injections of T-VEC followed by intravenous administrations of atezolizumab prior to surgery. The data is obtained from tumor samples of patients included in the study: female breast cancer patients with residual disease after neoadjuvant chemotherapy, including both triple-negative and Luminal B-like subtypes. Each sample includes raw paired-end RNAseq reads (~110 million reads per library) aligned to the GRCh38/hg38 reference genome

  Dataset EGAD50000002165

• Tumor-derived cell lines as pharmacogenomic models to predict therapeutic vulnerabilities in hepatocellular carcinoma

  Hepatocellular carcinoma (HCC) is a heterogeneous aggressive malignancy with low efficacy of current therapies at advanced stages. We integrated molecular and pharmacological profiling of a large panel of liver cancer cell lines (LCCL) to assess their clinical relevance as HCC preclinical models and identify new effective therapies and biomarkers of response. Here, we performed multi-omic analysis including whole-exome, RNA and microRNA sequencing in a series 34 LCCL. Molecular profiles of LCCL and primary HCC were compared and we searched for molecular features associated with drug response. Our panel of LCCL faithfully recapitulated the most aggressive molecular “proliferation class” of HCC.

  Dataset EGAD00001004938

• Dataset for upper_gastrointestinal_tumor-RNA

  Rare cancer sequencing data of 44 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008853

• ICGC MMML-seq Data Freeze November 2012 whole genome sequencing

  ICGC MMML-seq Data Freeze November 2012 whole genome sequencing

  Dataset EGAD00001000278

• ICGC MMML-seq Data Freeze November 2012 whole exome sequencing

  ICGC MMML-seq Data Freeze November 2012 whole exome sequencing

  Dataset EGAD00001000279

• ICGC MMML-seq Data Freeze March 2013 whole genome sequencing

  ICGC MMML-seq Data Freeze March 2013 whole genome sequencing

  Dataset EGAD00001000355

• ICGC MMML-seq Data Freeze July 2013 transcriptome sequencing

  ICGC MMML-seq Data Freeze July 2013 transcriptome sequencing

  Dataset EGAD00001000648

• EM-seq converted WGS for CSF-derived cfDNA from pediatric brain tumor patients

  EM-seq converted WGS for CSF-derived cfDNA from pediatric brain tumor patients

  Dataset EGAD50000001975

• Reference epigenome Pancreas-Islet07 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007462

• Reference epigenome Pancreas-Islet08 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet08 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007466

• Reference epigenome Pancreas-Islet04 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007211

• Reference epigenome Pancreas-Islet07 input ChIP-Seq data generated from KEP study

  Pancreas-Islet07 input ChIP-Seq paired end data

  Dataset EGAD00001007463

• Reference epigenome Kidney-Podocyte01 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007229

• Reference epigenome ADMSC02_smRNA-Seq data generated from KEP study

  A ADMSC02_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003868

• Reference epigenome Pancreas-Islet02 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007198

• Reference epigenome Pancreas-Islet02 input ChIP-Seq data generated from KEP study

  Pancreas-Islet02 input ChIP-Seq paired end data

  Dataset EGAD00001007199

• Reference epigenome IPS-NPC01 input ChIP-Seq data generated from KEP study

  IPS-NPC01 input ChIP-Seq paired end data

  Dataset EGAD00001007283

• Reference epigenome IPS-ENeuron02 h3k4me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007302

• Reference epigenome Pancreas-Islet07 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007461

• Reference epigenome Fat-adipocyte04 h3k9me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte04 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007483

• Reference epigenome Kidney-Podocyte03 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007237

• Reference epigenome ADMSC03_smRNA-Seq data generated from KEP study

  A ADMSC03_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003869

• Reference epigenome Pancreas-Islet07 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007457

• Reference epigenome Fat-adipocyte03 h3k27me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007472

• Reference epigenome Pancreas-Islet03 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007203

• Reference epigenome Pancreas-Islet03 input ChIP-Seq data generated from KEP study

  Pancreas-Islet03 input ChIP-Seq paired end data

  Dataset EGAD00001007206

• Reference epigenome Pancreas-Islet04 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007210

• Reference epigenome Pancreas-beta01 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007214

• Reference epigenome Pancreas-beta01 input ChIP-Seq data generated from KEP study

  Pancreas-beta01 input ChIP-Seq paired end data

  Dataset EGAD00001007220

• Reference epigenome Fat-Preadipocyte01 input ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 input ChIP-Seq paired end data

  Dataset EGAD00001007227

• Reference epigenome Pancreas-Islet03 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007200

• Reference epigenome Fat-Preadipocyte01 h3k9me3 ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007226

• Reference epigenome Kidney-Podocyte01 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007231

• Reference epigenome Pancreas-beta01 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007216

• Reference epigenome Pancreas-beta01 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007217

• Reference epigenome Pancreas-beta01 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007218

• Reference epigenome Fat-Preadipocyte01 h3k27ac ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007221

• Reference epigenome Kidney-Podocyte03 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007235

• Reference epigenome Kidney-Podocyte04 input ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 input ChIP-Seq paired end data

  Dataset EGAD00001007248

• Reference epigenome Kidney-mesangial01 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007251

• Reference epigenome Kidney-mesangial02 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007256

• Reference epigenome IPS-NPC02 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007289

• Reference epigenome Kidney-mesangial02 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007257

• Reference epigenome Kidney-mesangial02 input ChIP-Seq data generated from KEP study

  Kidney-mesangial02 input ChIP-Seq paired end data

  Dataset EGAD00001007262

• Reference epigenome Kidney-mesangial02 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007258

• Reference epigenome IPS-NPC02 h3k27ac ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007284

• Reference epigenome Kidney-mesangial01 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007250

• Reference epigenome IPS-Fibroblast01 h3k27ac ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007263

• Reference epigenome IPS-Fibroblast02 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007275

• Reference epigenome IPS-NPC02 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007285

• Reference epigenome IPS-NPC02 h3k36me3 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007286

• Reference epigenome IPS-NPC02 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007287

• Reference epigenome IPS-ENeuron02 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007301

• Reference epigenome Fat-adipocyte03 h3k27ac ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007471

• Reference epigenome Fat-adipocyte05 h3k27me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007486

• Reference epigenome Fat-adipocyte05 h3k36me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007487

• Reference epigenome Fat-adipocyte05 h3k4me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007489

• Reference epigenome Fat-adipocyte05 h3k4me1 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007488

• Reference epigenome Fat-adipocyte05 input ChIP-Seq data generated from KEP study

  Fat-adipocyte05 input ChIP-Seq paired end data

  Dataset EGAD00001007491

• Reference epigenome DB31_N_Alpha_smRNA-Seq data generated from KEP study

  A DB31_N_Alpha_smRNA-Seq single end data for alpha cells(PSA-NCAM(-), pancreas)

  Dataset EGAD00001003494

• Reference epigenome IPS-NPC01 h3k4me3 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007281

• Reference epigenome Kidney-Podocyte01 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007228

• Reference epigenome Fat-adipocyte03 h3k9me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007476

• 4C-Seq datasets of EndoC-bh1

  2 Circular chromosome conformation capture (4C-Seq) datasets of the human beta cell line EndoC-bh1.

  Dataset EGAD00001005210

• Reference epigenome IPS-Fibroblast02 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007273

• Reference epigenome Kidney-Podocyte04 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007243

• Reference epigenome DB31_N_Alpha_mRNA-Seq data generated from KEP study

  A DB31_N_Alpha_mRNA-Seq paired end data for alpha cells(PSA-NCAM(-), pancreas)

  Dataset EGAD00001003485

• Reference epigenome Pancreas-Islet02 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007196

• Reference epigenome Pancreas-Islet02 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007194

• Reference epigenome Pancreas-Islet02 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007197

• Reference epigenome Pancreas-Islet03 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007201

• Reference epigenome Pancreas-Islet03 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007202

• Reference epigenome Pancreas-Islet04 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007212

• Reference epigenome Kidney-Podocyte01 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007230

• Reference epigenome Kidney-Podocyte01 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007233

• Reference epigenome Kidney-Podocyte03 input ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 input ChIP-Seq paired end data

  Dataset EGAD00001007241

• Reference epigenome Kidney-Podocyte04 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007242

• Reference epigenome Kidney-Podocyte04 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007245

• Reference epigenome Kidney-Podocyte04 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007246

• Reference epigenome Kidney-mesangial01 input ChIP-Seq data generated from KEP study

  Kidney-mesangial01 input ChIP-Seq paired end data

  Dataset EGAD00001007255

• Reference epigenome Kidney-mesangial01 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007249

• Reference epigenome Kidney-Podocyte04 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007247

• Reference epigenome Kidney-mesangial01 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007253

• Reference epigenome Kidney-mesangial02 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007259

• Reference epigenome Kidney-mesangial02 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007260

• Reference epigenome Kidney-mesangial02 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007261

• Reference epigenome IPS-NPC01 h3k27ac ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007277

• Reference epigenome IPS-NPC01 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007280

• Reference epigenome IPS-NPC01 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007282

• Reference epigenome IPS-ENeuron01 h3k27ac ChIP-Seq data generated from KEP study

  IPS-ENeuron01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007291

• Reference epigenome IPS-ENeuron02 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007303

• Reference epigenome Kidney-mesangial01 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007252

• Reference epigenome Islet-derived-iPSC02 h3k4me3 ChIP-Seq data generated from KEP study

  Islet-derived-iPSC02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007447

• ICGC MMML-seq Data Freeze July 2013 whole genome sequencing

  ICGC MMML-seq Data Freeze July 2013 whole genome sequencing

  Dataset EGAD00001000645