12006 results for "cancer rna-seq"

in 21.64 milliseconds.

• Single-cell RNA-sequencing of rhabdomyosarcoma tumour tissue (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the single-cell RNA sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015717

• RNA-seq analysis of transcriptome variation with human ESC subclones

  Many studies over the past 10 years, culminating in the recent report of the International Stem Cell Initiative (ISCI, 2011) have shown that hPSC acquire genetic and epigenetic changes during their time in culture. Many of the genetic changes are non-random and recurrent, probably because they provide a selective growth advantage to the undifferentiated cells. Some are shared by embryonal carcinoma cells, the malignant counterparts of ES cells. The origins of these growth advantages are poorly understood, but may come from altered cell cycle dynamics, resistance to apoptosis or altered patterns of differentiation. Less is known about the nature and consequences of epigenetic changes, but it is likely that these similarly affect hPSC behaviour; e.g., enhanced expression of DLK1, an imprinted gene, is associated with altered hPSC growth (Enver et al 2005). Inevitably, these genetic and epigenetic changes will impact on our ability to use hPSC for regenerative medicine, either because malignant transformation of the undifferentiated cells or their differentiated derivatives to be used for transplantation compromises safety, or because they impede the function of those differentiated derivatives, or because they affect the efficiency with which the undifferentiated cells can be expanded and differentiated into desired cell types. Focusing initially upon the existing clinical grade hESC lines, later moving to iPSC, we will Consolidate and extend knowledge of the rate, type and functional impact of the genetic variations that occur during hPSC culture. We will use whole genome and exome sequencing as well as SNP arrays, together with clonal analysis and other cytogenetics techniques. Common changes will be compared with those found in the normal human population, at low frequency in the original cell population or observed during iPSC generation in the HIPSCI project currently based at the WTSI. These studies will provide a better understanding of the range of genetic changes that occur in hPSC beyond the CNVs already identified. In conjunction with cancer genome resources and expertise at WTSI, bioinformatic analyses of these hPSC data will allow us to assess potential impact on hPSC behaviour pertinent to applications in regenerative medicine, notably the likelihood that specific changes arising in undifferentiated PSC cultures may be associated with potential malignant transformation of differentiated progeny This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/ .

  Dataset EGAD00001004266

• Genetic Effects on miRNA Expression During Mid-Gestation Neocortical Development

  In this study we aimed to find common genetic variants that influence miRNA expression during mid-gestation neocortical development. Small RNA-sequencing from 212 fetal cortical tissue samples between 14 and 21 weeks gestation were used to profile miRNA expression. Combined with donor genotypes, we were able to find miRNA-eQTLs during neocortical development. The dataset provided here includes 212 Small RNA-sequencing files in FASTQ format from cortical wall samples. Also provided here are 212 donor genotypes in PLINK format (hg19).

  Study phs003106

• Single Suture Craniosynostosis: Gene and Pathway Discovery

  Craniosynostosis is the premature fusion of one or more of the calvarial sutures. In this work, we used genomics and network modeling to reveal genetic and developmental pathways which, when disrupted, result in premature calvarial fusion. Calvarial bone explants were obtained from children undergoing surgery for single suture craniosynostosis. Primary osteoblast cell lines were established from calvarial explants and used as an RNA source.  The data available includes subject sex, affected suture, RNA sequence variants and counts.

  Study phs002684

• RNAseq of MCL cell lines

  This study provides bulk RNA sequencing data from Mino and Jeko-1 mantle cell lymphoma (MCL) cell lines treated with CDK9 inhibitors, including the novel compound YX0798. CDK9 is a key regulator of RNA polymerase II–mediated transcription, and its inhibition disrupts transcriptional programs critical for tumor survival. The dataset captures transcriptomic changes associated with CDK9 inhibition, including downregulation of oncogenic drivers such as MYC and MCL-1. These data support mechanistic studies of transcriptional reprogramming and therapeutic vulnerability in aggressive MCL.

  Study EGAS50000001089

• Transcriptome sequencing of fibroblast-dependent alveolar organoids derived from patient-specific iPS cells with SFTPC^Y104H variant and their gene-corrected (monoallelic wild type SFTPC) ones.

  A disease-specific iPS cell line derived from a pulmonary fibrosis patient with SFTPC^Y104H and its gene-corrected (monoallelic wild type SFTPC) one were established. Then lung progenitor cells were differentiated from each cell line and co-cultured with human fetal lung fibroblasts to generate alveolar organoids, respectively. Alveolar epithelial cells and fibroblasts were isolated by fluorescence-activated cell sorting and each RNA was extracted. We performed transcriptome analysis of those samples by RNA-sequencing.

  Study JGAS000617

• Convergent evolution drives therapy resistance in DNA repair-deficient mCRPC

  These are FASTQ files obtained from RNA-sequencing and DNA-sequencing of tumor biopsies obtained from metastatic castration-resistant prostate tumors. Patients were treated with multiple lines of therapy with samples obtained at the time of rapid autopsy following the CASCADE protocol. Multiple biopsies were obtained from each patient under guidance of pathology. DNA were analyzed by high-depth whole genome, exome, and targeted sequencing. RNA were analyzed using a Nugen amplification protocol as described in Quigley Cell 2018.

  Study EGAS00001007147

• Transcriptomic analysis of human hematopoietic populations sorted from umbilical cord blood.

  We isolated by fluorescence-activated cell sorting highly purified populations (long term hematopoietic stem cells (LT-HSCs), short term hematopoietic stem cells (ST-HSCs), multipotent progenitors (MPPs), common myeloid progenitor (CMPs), granulocyte and monocyte progenitors (GMPs), multilymphoid progenitors (MLPs), Myeloid-erythorid Progenitor (MEP), Granulocytes, Monocytes, B cells, T cells, Dendritic cells, Natural Killer cells and Erythrocyte Progenitors from 3 to 4 cord blood pools. We extracted RNA from 5K cells of each population and performed RNA-sequencing.

  Study EGAS00001004968

• Drug screen in iPSC-Neurons identifies nucleoside analogs as inhibitors of (G4C2)n expression in C9orf72 ALS/FTD

  To investigate the mode of action and potential side-effects we analyzed differential gene expression in Postmitotic C9orf72 iPSC-Neurons by RNAseq. The cells were treated in a 2 dose regime at 10 µm in 0.1 % DMSO for 9 days. Compound treated iPSC-Neurons were washed with PBS, frozen on dry ice and stored at -80°C until RNA isolation. The RNA was isolated using miRNA Mini Kit (Qiagen) using 700 μl of Qiazol. A total of 250 ng of RNA per sample was processed for mRNA library preparation as per the manufacturer’s instructions for Illumina® Stranded mRNA Prep Ligation to be used with the IDT® for Illumina® RNA UD Indexes Set B and sequenced using NextSeq 500/550 High Output Kit v2.5 (Illumina) on NextSeq 550 (Illumina). The data was processed and analyzed using CLC genomics workbench (Version 21.0.3, Qiagen)

  Dataset EGAD00001008674

• Epitope-linked Ig-seq of self-reactive plasma cells in celiac disease

  Study EGAS00001003658

• ChIP-seq of plasma cell-free nucleosomes identifies cell-of-origin gene expression programs

  Dac EGAC00001001875

• EGFR Mutant SCLC transformed exome seq

  Dataset EGAD00001001436

• ChIP_PEAKS

  ChIP-seq narrowPeaks. Software: MACS2 v2.1.2

  Dataset EGAD00010001923

• Human Inflammatory Skin Disease scRNA-seq

  Study EGAS00001005271

• ATRT ChIPSeq H3K27ac

  ATRT ChIPSeq H3K27ac

  Dataset EGAD00001004836

• Exome

  Exome Seq from EGAS00001001846

  Dataset EGAD00001002162

• Exome

  Exome Seq for Study EGAS00001001844

  Dataset EGAD00001002159

• Whole Genome DNA Methylation

  Whole Genome Bisulfite Sequencing on normal primary human uveal melanocytes. WGBS libraries were prepared using the Accel-NGS Methyl-Seq DNA Library Kit (Swift Biosciences 30024), the EZ DNA Methylation-Gold Kit (Zymo D5005), and DNA Clean & Concentrator-5 (Zymo D4013), following the instruction manual Accel-NGS Methyl-Seq DNA Library (Revision 160510). Paired-end (2 x 150 bp) libraries were sequenced on a DNBSEQ-T7 instrument (MGI) after library conversion.

  Dataset EGAD50000000766

• Analysis of T cells in follicular lymphoma

  This study aimed to identify new heterogeneities in human T cells of follicular lymphoma. To do so, we performed scRNA-seq of human lymph node and follicular lymphoma samples. We identified minor T cell subsets expanding in follicular lymphoma.

  Study EGAS50000000778

• Whole Genome DNA Methylation MPI

  Whole Genome Bisulfite Sequencing on normal primary human uveal melanocytes. WGBS libraries were prepared using the Accel-NGS Methyl-Seq DNA Library Kit (Swift Biosciences, Catalog No. 30024), the EZ DNA Methylation-Gold Kit (Zymo, D5005) and DNA Clean & Concentrator-5 (Zymo, D4013), following the instruction manual Accel-NGS® Methyl-Seq DNA Library (Revision 160510). Paired-end libraries (2 × 150 bp) were sequenced on a NovaSeq 6000 instrument.

  Dataset EGAD50000001139

• Mutational_burden_in_oesophagus__nanoseq_

  We wish to accurately assess mutational burden and signature from patients of different ages using clonal oesophageal epithelium and duplex-seq. We will also attempt to look for differences between smokers and non-smokers and individuals with different levels of alcohol consumption.

  Study EGAS00001007695

• Genomic landscape of IG-MYC positive Burkitt lymphoma with precursor B-cell immunophenotype.

  As part of the ICGC, the ICGC MMML-Seq project performed whole genome sequencing of a rare Burkitt lymphoma subtype with precursor B-cell immunophenotype. Analysis were performed in concordance with the guidelines of the ICGC.

  Study EGAS00001002968

• BLUEPRINT release August 2016, Bisulfite-Seq for regulatory T cell, on genome GRCh38

  Bisulfite-Seq data for 2 regulatory T cell sample(s). 41 run(s), 3 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002492

• BLUEPRINT release August 2016, Bisulfite-Seq for neutrophilic metamyelocyte, on genome GRCh38

  Bisulfite-Seq data for 3 neutrophilic metamyelocyte sample(s). 32 run(s), 3 experiment(s), 6 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002497

• DNA-seq FASTQ files from 16 patients affected by acute intermittent porphyria

  Paired-end DNA-seq FASTQ files from 16 patients affected by acute intermittent porphyria. Whole genome sequencing of these samples was performed in an Illumina HiSeq 4000 instrument. Libraries were prepared using the Fisher PE Kit (Kapa Biosystems). Each sample was multiplexed across flowcells and lanes, leading to a total number of 83 pairs of FASTQ files.

  Dataset EGAD00001006950

• BLUEPRINT release August 2016, Bisulfite-Seq for mature neutrophil, on genome GRCh38

  Bisulfite-Seq data for 9 mature neutrophil sample(s). 116 run(s), 9 experiment(s), 18 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002508

• Methylation profiling by MCC-Seq of visceral fat (N=199) and whole-blood (N=206) derived from IUCPQ participants

  The study includes NGS-based methylC-capture sequencing (MCC-Seq) on 199 visceral adipose tissue and 206 whole-blood DNA samples derived from obese individuals (BMI >40 kg m-2) in the IUCPQ cohort. We generated 100bp paired-end reads using the Illumina HiSeq2000 or 2500 systems.

  Dataset EGAD00001004787

• Chromatin 3D interactions mediate genetic effects on gene expression (ChIP-seq)

  ChIP-seq data for Lymphoblastoid Cell Lines (LCL) and Fibroblasts (FIB) from the Gencord Cohort: - 160 LCLs assayed for H3K27ac, H3K4me1 and H3K4me3, - 78 FIB assayed for H3K4me3 and 79 FIB assayed for H3K27ac and H3K4me1 This dataset was generated as part of the following study: Delaneau et al (2019). Chromatin 3D interactions mediate genetic effects on gene expression.

  Dataset EGAD00001004871

• BLUEPRINT release August 2016, Bisulfite-Seq for monocyte - RPMI_LPS_T=1hr, on genome GRCh38

  Bisulfite-Seq data for 1 monocyte - RPMI_LPS_T=1hr sample(s). 14 run(s), 1 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002502

• iPSC and iNeuron RNAseq, chip-seq and single cell CRISPR activation

  Dataset includes 1) RNAseq for Bob_Ngn2 cell differentiation from iPSC to iNeuron stage (time point 0, 24, 48 and 96 hours). 2) Bob_Ngn2 cell line chip-seq (H3K4me3, H3K4me1, H3K27me3, H3K9me3, H3K27ac, H3K36me3) for both iPSC and iNeuron stage with 3 replicates at each time point. 3) Single cell CRISPR activation experiment with 96 endogenous genes.

  Dataset EGAD00001010050

• BLUEPRINT release August 2016, Bisulfite-Seq for precursor B cell, on genome GRCh38

  Bisulfite-Seq data for 1 precursor B cell sample(s). 6 run(s), 1 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002330

• BLUEPRINT release August 2016, Bisulfite-Seq for monocyte - None, on genome GRCh38

  Bisulfite-Seq data for 2 monocyte - None sample(s). 70 run(s), 4 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002395

• BLUEPRINT release August 2016, Bisulfite-Seq for macrophage - T=6days B-glucan, on genome GRCh38

  Bisulfite-Seq data for 1 macrophage - T=6days B-glucan sample(s). 15 run(s), 1 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002410

• BLUEPRINT release August 2016, Bisulfite-Seq for alternatively activated macrophage, on genome GRCh38

  Bisulfite-Seq data for 6 alternatively activated macrophage sample(s). 94 run(s), 7 experiment(s), 12 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002305

• BLUEPRINT release August 2016, Bisulfite-Seq for monocyte - RPMI_BG_T=24hrs_RPMI_T=5days, on genome GRCh38

  Bisulfite-Seq data for 1 monocyte - RPMI_BG_T=24hrs_RPMI_T=5days sample(s). 18 run(s), 2 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002385

• BLUEPRINT release January 2015, Bisulfite-Seq for central memory CD8-positive, alpha-beta T cell

  Bisulfite-Seq data for 2 central memory CD8-positive, alpha-beta T cell sample(s). 27 run(s), 2 experiment(s), 2 alignment(s). Part of BLUEPRINT release January 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_bisulphite_analysis_CNAG_20140811

  Dataset EGAD00001001180

• BLUEPRINT release August 2016, Bisulfite-Seq for hematopoietic multipotent progenitor cell, on genome GRCh38

  Bisulfite-Seq data for 2 hematopoietic multipotent progenitor cell sample(s). 16 run(s), 3 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002434

• BLUEPRINT release August 2016, Bisulfite-Seq for monocyte - T=0days, on genome GRCh38

  Bisulfite-Seq data for 1 monocyte - T=0days sample(s). 15 run(s), 1 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002405

• BLUEPRINT release August 2016, Bisulfite-Seq for monocyte - RPMI_T=4hrs, on genome GRCh38

  Bisulfite-Seq data for 1 monocyte - RPMI_T=4hrs sample(s). 15 run(s), 1 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002394

• BLUEPRINT release August 2016, Bisulfite-Seq for Type 1 diabetes mellitus, on genome GRCh38

  Bisulfite-Seq data for 4 Type 1 diabetes mellitus sample(s). 32 run(s), 4 experiment(s), 8 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002392

• BLUEPRINT release August 2016, Bisulfite-Seq for CD8-positive, alpha-beta thymocyte, on genome GRCh38

  Bisulfite-Seq data for 2 CD8-positive, alpha-beta thymocyte sample(s). 28 run(s), 2 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002370

• BLUEPRINT release January 2015, Bisulfite-Seq for CD8-positive, alpha-beta T cell

  Bisulfite-Seq data for 4 CD8-positive, alpha-beta T cell sample(s). 56 run(s), 4 experiment(s), 4 alignment(s). Part of BLUEPRINT release January 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_bisulphite_analysis_CNAG_20140811

  Dataset EGAD00001001189

• BLUEPRINT release August 2014, ChIP-Seq for erythroblast

  ChIP-Seq data for 2 erythroblast sample(s). 14 run(s), 14 experiment(s), 14 alignment(s). Part of BLUEPRINT release August 2014. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_chipseq_analysis_ebi_20140811

  Dataset EGAD00001000924

• BLUEPRINT release August 2014, ChIP-Seq for macrophage

  ChIP-Seq data for 1 macrophage sample(s). 6 run(s), 6 experiment(s), 6 alignment(s). Part of BLUEPRINT release August 2014. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_chipseq_analysis_ebi_20140811

  Dataset EGAD00001000929

• BLUEPRINT release January 2015, Bisulfite-Seq for CD14-positive, CD16-negative classical monocyte

  Bisulfite-Seq data for 6 CD14-positive, CD16-negative classical monocyte sample(s). 86 run(s), 6 experiment(s), 6 alignment(s). Part of BLUEPRINT release January 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_bisulphite_analysis_CNAG_20140811

  Dataset EGAD00001001206

• BLUEPRINT release August 2015, Bisulfite-Seq for memory B cell, on genome GRCh38

  Bisulfite-Seq data for 1 memory B cell sample(s). 20 run(s), 1 experiment(s), 1 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_bisulphite_analysis_CNAG_20150820

  Dataset EGAD00001001479

• BLUEPRINT release August 2016, Bisulfite-Seq for macrophage - T=6days untreated, on genome GRCh38

  Bisulfite-Seq data for 1 macrophage - T=6days untreated sample(s). 15 run(s), 1 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002373

• BLUEPRINT release August 2016, Bisulfite-Seq for monocyte - RPMI_LPS_T=24hrs_RPMI_T=5days, on genome GRCh38

  Bisulfite-Seq data for 1 monocyte - RPMI_LPS_T=24hrs_RPMI_T=5days sample(s). 15 run(s), 1 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002324

• BLUEPRINT release January 2015, Bisulfite-Seq for class switched memory B cell

  Bisulfite-Seq data for 1 class switched memory B cell sample(s). 20 run(s), 1 experiment(s), 1 alignment(s). Part of BLUEPRINT release January 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_bisulphite_analysis_CNAG_20140811

  Dataset EGAD00001001176

• BLUEPRINT release August 2016, Bisulfite-Seq for CD4-positive, alpha-beta thymocyte, on genome GRCh38

  Bisulfite-Seq data for 2 CD4-positive, alpha-beta thymocyte sample(s). 29 run(s), 2 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002483