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• Open Targets 020 Epigenomes of Cell Lines (2018-10-23)

  There is currently a drive to establish cell based assay systems of greater human biological and disease relevance through the use of well characterised transformed cell lines, primary cells and complex cellular models (e.g. co-culture, 3D models). However, although the field is gaining valuable experience in running more non-standard & complex cell assays for target validation and compound pharmacology studies, there is the lack of a systematic approach to determine if this expansion in cell assay models is reflected in increased human biological and disease relevance. The increasing wealth of publically available transcriptomic, and epigenome (ENCODE and Epigenome Roadmap) data represents an ideal reference mechanism for determining the relationship between cell types used for target & compound studies to primary human cells and tissues from both healthy volunteers & patients. The CTTV020 epigenomes of cell line project aims to generate epigenetic and transcriptomic profiles of cell lines and compare these with existing and newly generated reference data sets from human tissue and cell types. The aim is to identify assay systems which will provide greater confidence in translating target biology and compound pharmacology to patients. Multiple cell types commonly used within research have been grouped according to biology. Examples include erythroid, lung epithelial, hepatocyte cell types and immortalised models of monocyte / macrophage biology. 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 please see http://www.sanger.ac.uk/datasharing/ . This dataset contains all the data available for this study on 2018-10-23.

  Dataset EGAD00001004415

• Transcriptional and DNA binding profiling of CEBPE in REH acute lymphoblastic leukaemia cells using shRNA RNA-Seq and ChIP-Seq

  ChIP-Seq - CEBPE - REH. The ETV6/RUNX1 translocated acute lymphoblastic leukaemia cell line. REH was used to perform ChIP-Seq using a CEBPE antibody. Cells were fixed in 1% formaldehyde for 10mins, prior to preparation of chromatin using Active Motif Express ChIP-IT. 2ug of antibody (anti CEBPE Atlas Antibodies HPA002928)was added to 25ug of chromatin O/N at 4C with rotation. Duplicate reactions were pooled and purified. 10ng of ChIP’d and input DNA used for Illumina NGS preparation (NEBNext ChIP-Seq Library kit; New England Biolabs), CEBPE and Input DNA ChIP samples were sequenced on a MiSeq using 150bp Kit v3 paired end and a HiSeq 2500 using 2x101 version 4 paired end (Illumina) respectively. Reactions performed in duplicate. shCEBPE RNA-Seq - REH. REH cells were lentivirally transduced with a pTRIPZ shRNA vector for transcriptional profiling of CEBPE. Two controls (empty and non-targeting) and two CEBPE shRNAs (V3THS_150517(A13), V3THS_404312(G3) Dharmacon, GE) were transduced into REH cells. Cells were treated with 1ug/ml doxycyclin for 144hrs and total RNA purified using Qiagen RNeasy. Knock down of CEBPE was validated by qRT. RNA integrity >7.7 for all samples. Libraries were prepared using NEBNext Ultra II Directional RNA Library Prep Kit and sequenced on an Illuimna HiSeq 2500 using 2x101 version 4 paired end chemistry. 3 biological replicates of each samples were prepared.

  Dataset EGAD00001004084

• DAC for the study EGAS00001001738

  Dac EGAC00001000450

• DAC for sputum fungal microbiome data

  Dac EGAC00001003006

• DAC for Oncogenomics QIMR Berghofer

  Dac EGAC00001001088

• Data Access Committee for WES RCC

  Dac EGAC00001003161

• DAC for study Vel Exome Sequencing

  Dac EGAC00001000012

• DAC for Sardinia FACS pilot project

  Dac EGAC00001000132

• DAC for study POT1 splice

  Dac EGAC00001000184

• DAC for SNP phenotyping Kiel

  Dac EGAC00001000316

• DAC for Mesothelioma Genomics Study

  Dac EGAC00001000615

• DAC for Human Stem Sell Sequencing

  Dac EGAC00001000642

• DAC for studying early onset IBD

  Dac EGAC00001000840

• DAC for Familial Breast Cancer study EGAS00001003305

  Dac EGAC00001001087

• DAC for genentech GBC study

  Dac EGAC00001001155

• Department for BioMedical Research, University of Bern

  Dac EGAC00001001457

• DAC for Gastric Adenocarcinoma Heterogeneity study

  Dac EGAC00001001649

• Data Access Committee for IMBA

  Dac EGAC00001001690

• Data Access Committee for data from EGAS00001005174

  Dac EGAC00001002059

• Data Access Committee for data from EGAS00001005395

  Dac EGAC00001002183

• Data Access Committee for PPIL4 Paper

  Dac EGAC00001002301

• Data Access Committee for Massim study

  Dac EGAC00001002522

• Data Access Committee for Institut Curie

  Dac EGAC00001002711

• Data Access Committee for Pediatric Medulloblastoma

  Dac EGAC00001002896

• Institute for Surgical Pathology

  Dac EGAC00001002949

• Data Access Commitee for MNP2

  Dac EGAC00001003033

• DAC for Karolinska Institute REM Lab

  Dac EGAC00001003142

• DAC for Kotsch/Lukassen/Conrad labs

  Dac EGAC00001003464

• Data Access Committee for data from EGAS00001002864

  Dac EGAC00001003487

• Data Access Committee for data from EGAS00001007832

  Dac EGAC00001003500

• Data Access Committee for data from EGAS00001007819

  Dac EGAC00001003501

• Data Access Committee for data from EGAS00001007904

  Dac EGAC00001003512

• Data Access Committee for data from EGAS00001008107

  Dac EGAC00001003568

• UCL Centre for Longitudinal Studies

  Dac EGAC00001001041

• BAP1 Project

  For our BAP1 manuscript

  Dac EGAC50000000006

• EGAD00010000608

  SNP6 data for seminoma samples

  Dataset EGAD00010000608

• Wellcome Trust Sanger Institute

  Access to individual-level genotype data is available by application to the MalariaGEN Independent Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. For further information information on data release policy and data access application form, please follow the link below.

  Dac EGAC00000000002

• Primary ER-positive Breast Cancer Treated with Neoadjuvant Letrozole

  These are tumor biopsies and corresponding normal samples from patients with early stage ER+/HER2- breast cancer who had received the aromatase inhibitor letrozole for 10-21 days prior to surgery.

  Study phs000857

• Genetic Etiology of Heterotaxy

  To understand the genetic etiology of heterotaxy, patients with heterotaxy were consented and recruited, with blood drawn for DNA extraction and exome sequencing. Using the exome sequencing dataset obtained, rare coding sequence variants were identified.

  Study phs001691

• PEDS-PLAN - Pediatric Precision Laboratory Advanced Neuroblastoma Therapy

  A multi-center clinical trial for newly diagnosed high-risk neuroblastoma patients. Molecular tumor boards selected one of six targeted agents based on tumor-normal whole exome sequencing and tumor RNA sequencing data.

  Study phs002303

• Target sequencing of a case of concurrent Langerhans Cell Histiocytosis and Acute Myeloid Leukemia

  We performed target sequensing of the bone marrow and lymph node samples to scrrening for driver mutations in a case of concurrent Langerhans Cell Histiocytosis and Acute Myeloid Leukemia.

  Study JGAS000558

• The exploratory research of diagnositic biomarker and therapeutic targets of renal cell carcinoma.

  We search more effective markers, which predict worse prognosis in patients with RCC and become targets for therapy of RCC, using tissues of patients with RCC by global transcriptional analysis.

  Study JGAS000149

• Effects of GATA4-inhibiting compound 3i-2012 on HB-243 hepatoblastoma cells

  In order to study the effects of GATA4 inhibition, HB-243 hepatoblastoma cells were treated with GATA4-inhibiting compound 3i-2012 for 24 hours. Total RNA was extracted and sequenced.

  Study EGAS50000000999

• DAC for Cornell-NCI DLBCL NGS Genomic Project

  Genome-wide sequencing experiments were conducted on 103 DLBCL biopsy samples, of which the datasets (called Cornell-NCI DLBCL cohort) are available for authorized scientists. The Center of Technology Licensing at Cornell University is in charge of this data access policy and approval. Particularly, Cornell University will email a DAA to each requestor to have their institution sign before access is granted

  Dac EGAC50000000704

• Genome-wide association scan in psoriasis

  To identify novel susceptibility loci for psoriasis, we undertook a genome-wide association scan of of 594,224 SNPs in 2,622 individuals with psoriasis and 5,667 controls.

  Study EGAS00000000108

• Chlamydia trachomatis exploits sphingolipid metabolic pathways during infection of phagocytes

  This study looks at the response of M2 macrophages stimulated with GM-CSF and IL4 for 7 days and 2 days respectively to C. trachomatis infection on an Illumina platform.

  Study EGAS50000000960

• PDAC organoids treated with LGK974

  Transcriptomic data from pancreatic ductal adenocarcinoma (PDAC) organoids to investigate the role of WNT7B. This dataset includes: - Bulk mRNA sequencing of LGK974 treated pancreatic ductal adenocarcinoma (PDAC) organoids from three different patients for 24h

  Study EGAS50000001542

• The Jackson Laboratory for Genomic Medicine APML DAC (rare disease research)

  This Data Access Committee oversees access to genomic data from rare disease research conducted by the Advanced Precision Medicine Laboratory (APML) at The Jackson Laboratory for Genomic Medicine. The DAC reviews data access applications to ensure compliance with patient consent agreements, institutional policies, and ethical guidelines. Access decisions are made based on scientific merit and data security capabilities of the requesting institution.

  Dac EGAC50000000845

• cfDNA sWGS BAM — Breast cancer stage II-III (HR+/HER2−)

  Plasma cfDNA sWGS for breast cancer patients (HR+/HER2−, stage II–III), blood drawn pre-operatively (no neoadjuvant), Centre Léon Bérard/MyProbe (France). Libraries: DSP and/or SSP as recorded. Sequencing by IntegraGen (2022–2024); alignment to GRCh38 with BWA-MEM; BAMs sorted/indexed; primary mapped reads only (see analysis metadata for exact filters/MAPQ). Controlled access.

  Dataset EGAD50000001877

• Somatic variant calls from whole-exome sequencing of three tumor–normal matched cell lines

  This dataset comprises matched tumor–normal cell line samples. Whole-exome sequencing data are available for three matched pairs, and targeted deep sequencing–based somatic variant calls are provided for them as well in the form of VCF files.

  Dataset EGAD50000002392

• Baseline epigenetic clock measures in the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA)

  Epigenetic clock measures for a subset of 1,870 participants within the NICOLA cohort. The following epigenetic clocks were generated: (±PC)PhenoAge, (±PC)GrimAge, (±PC)Horvath1, (±PC)Hannum, PCDNAmTL and DunedinPACE. +PC represents the use of the principal component adjusted version of the clock.

  Dataset EGAD50000002063

• The brain neurovascular epigenome and its association with dementia

  H3K27Ac and H3K4me3 CUT&Tag fastq data using resected tissue from 6 cell types: Microglia (PU1+), Brain endothelial cells (ERG+), Mural cells (NOTCH3+), Neurons (NEUN+), Oligodendrocytes (OLIG2+) and Astrocytes (RFX4+). Transcription factor CUT&Tag for PU1, ERG and OLIG2. Promoter capture HiC for Primary pericytes, Primary Brain endothelial cells and Astrocytes.

  Dataset EGAD50000001657

• Dataset for "HPV integration induces gene fusions" (RNA)

  RNA-seq data for "HPV integration induces gene fusions" We performed RNA-seq analysis of five HPV+ head and neck cancer samples using Illumina short reads. Sequenced are submitted in bam format. We also sequenced one samples with pacBio long reads, and the reads are submitted in fastq format.

  Dataset EGAD50000001303

• Immunophenotype data for a subset of NSCLC cases in OAK

  The investigators would like to correlate NGS data from OAK to immunophenotype designation performed manually based on a panCK/CD8 immunohistochemistry stain for a subset of squamous cell carcinomas.

  Dataset EGAD50000001253

• The dataset for Early detection of ovarian cancer using cell-free DNA fragmentomes and protein biomarkers

  The dataset for “Early detection of ovarian cancer using cell-free DNA fragmentomes and protein biomarkers” includes 409 cram files from whole genome next-generation sequencing on the Illumina HiSeq2500. The samples analyzed include plasma samples from healthy individuals and patients with cancer.

  Dataset EGAD50000000695

• scRNA/TCR-seq of CD8+ T cells from a melanoma patient

  Specific in vitro stimulation of patient-derived PBMC with the neoantigens SYTL4-S363F and KIF2C-P13L was followed by enriching for CD137+ activated T cells. Restimulated T cells as well as an unstimulated patient PBMC sample from the same time point were used for scRNA-Seq/scTCR-Seq.

  Dataset EGAD50000000854

• SV Based ctDNA detection in localized soft tissue sarcoma

  WGS from FFPE for "Detecting ctDNA Using Personalized Structural Variants to Forecast Recurrence in Localized Soft Tissue Sarcoma." study. 33 patients had whole genome sequencing through the Illumina platform at an average depth of 15x. Tumor informed structural variants were identified and ddPCR assays were designed for individualized structural variant-based ctDNA detection.

  Dataset EGAD50000002614

• Whole genome shotgun sequencing and somatic mutations data in Hepatocellular carcinoma

  Hepatocellular carcinoma (HCC) is the most common malignancy of the liver. Genomic analysis is conducted to identify genetic alterations in driver genes which are all druggable targets for cancer therapy.

  Study EGAS00001002578

• Integrative multi-omic analyses of malignant pleural mesothelioma

  Multi-omic data (whole-genome sequencing, RNA-seq, EPIC 850K methylation arrays) for 123 samples from the MESOMICS project, the French project of molecular characterization of malignant pleural mesothelioma

  Study EGAS00001004812

• Preterm Infant Gut Metagenomes from the NutriBrain Clinical Trial

  Data Access Committee responsible for governing access to metagenomic sequencing datasets generated from fecal samples collected from preterm infants enrolled in the NutriBrain clinical trial. The study investigates the impact of early-life nutrition on gut microbiome development and neurodevelopmental outcomes. Samples were collected longitudinally during the neonatal period under standardized protocols, and total microbial DNA was extracted for high-throughput shotgun metagenomic sequencing.

  Dac EGAC50000001008

• Fibromyalgia versus small fiber neuropathy: Diverse keratinocyte transcriptome signature

  We provide a diverse keratinocyte transcriptome signature between SFN and FMS patients, which may hint towards distinct pathomechanisms of small fiber sensitization and lay the basis for advanced diagnostics in both entities

  Study EGAS00001005004

• Denisova admixture in Southeast Asia and Oceania

  Genome-wide data from populations from south Asia, Southeast Asia, and Oceania were analyzed for signatures of Denisova admixture to infer the history of human migration to this part of the world

  Study EGAS00001006132

• Sequencing files for "A Unifying Paradigm for Transcriptional Heterogeneity and Squamous Features in Pancreatic Ductal Adenocarcinoma."

  Files from DNA and RNA sequencing from primary tumors and metastases from pancreatic cancer patients along with matched normal tissues.

  Dataset EGAD00001005519

• Validation data for the SV analysis package: GRIDSS, PURPLE, LINX

  Validation data containing sequencing data of 13 samples. An hybrid capture approach was used to validate findings of both Manta and GRIDSS for the samples in the validation set. The dataset also contains the reference sequences used.

  Dataset EGAD00001005525

• DESIGN II HNSCC RNA-Seq

  RNA-Seq data of 28 HPV-negative HNSCC specimens from patients treated at the Netherlands Cancer Institute (Amsterdam), VU Medical Centre (Amsterdam) or MAASTRO Clinic (Maastricht) in The Netherlands. HNSCC biopsy samples were obtained prior to treatment (chemo-radiotherapy) for the prospective study within the DESIGN project and used for polyA mRNA sequencing.

  Dataset EGAD00001005722

• RNA-sequencing

  RNA-sequencing for a cohort of B-ALL samples : 5 Down Syndrome (DS), 16 Hyperdiploid (HeH), 6 iAMP21, 9 other. RNA-sequencing for B-cell progenitors from 3 healthy. It also contains RNA-sequencing datasets of Patient-Derived Xenografts (X) developed from the B-ALL samples : 4 Down Syndrome (DS), 4 Hyperdiploid (HeH), 1 iAMP21, 3 other.

  Dataset EGAD00001005426

• Human tumour ChIP-seq.

  We profiled 16 patient tumour samples by ChIP-seq. H3K27ac and Input are provided for 16 samples and H3K27me3 is provided for 14 samples. Among the 16 samples, 9 are G34WT and 7 are G34R/V. The raw fastq or bam files are provided.

  Dataset EGAD00001006100

• H3Africa CAfGEN Exome

  Whole Exome Sequencing data from a retrospective paediatric HIV-disease progression cohort defined on the World Health Organization's criteria for paediatric HIV progression. Data comprises of BAM and VCF files for 314 participants from 2 countries: Botswana and Uganda. DNA and RNA samples are linked in bio-repository.

  Dataset EGAD00001006224

• Genomic and transcriptomic data of glioma specimens

  Dataset consists of 207 glioma samples of WHO grades II, III and IV. Dataset consists 182 tumor derived genomic data of ~700 cancer-related and epigenetic-related genes with matched blood samples for 48 specimens. Dataset also consists transcriptomic data for 105 specimens. In total 335 bam files were deposited.

  Dataset EGAD00001006299

• A110673A

  Whole genome sequencing for single cells for library A110673A 1089 cells; filetype=bam

  Dataset EGAD00001007602

• A98172B

  Whole genome sequencing for single cells for library A98172B 941 cells; filetype=bam

  Dataset EGAD00001007641

• RNA-Seq data for manuscript titled: Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy

  RNA-Seq data for manuscript titled: Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy

  Dataset EGAD00001008656

• FACS sorting of ploidy populations in an undifferentiated soft tissue sarcoma for RRBS

  Groups of cells belonging to different ploidy populations (based on PI staining) were collected from an undifferentiated soft tissue sarcoma. The different ploidy populations underwent RRBS, after which copy number signatures for the ploidy-sorted populations and the bulk population were extracted.

  Dataset EGAD00001008667

• Dual spatially resolved transcriptomics for human host-pathogen colocalization studies in FFPE tissue sections

  Advamced Visium Spatial Gene Expression assay for FFPE tissues with human and SARS-CoV-2 whole transcriptome (WT) information at a 55 µm resolution. The dataset consists of 13 tissue sections from 5 patient lung tissue samples, 3 from COVID-19 patients and 2 from control patients.

  Dataset EGAD00001008701

• single-cell RNAseq FASTq files for three muscle-invasive bladder tumors

  single-cell RNAseq FASTq files for three muscle-invasive bladder tumors

  Dataset EGAD00001008001

• CHROMATIN ACTIVATION PROFILING OF STEREOTYPED CHRONIC LYMPHOCYTIC LEUKEMIAS

  We used chromatin-immunoprecipitation followed by sequencing (ChIP-Seq) with an antibody for the H3K27ac (a bona fide histone mark for regulatory element activation) in sorted CLL cells from 15 CLL, including cases from stereotyped subsets #1, #2, #4, and #8. The samples were sequenced by Illumina HiSeq 2500.

  Dataset EGAD00001009082

• Bulk ATAC data

  Bulk ATAC libraries were generated for patient samples A.1, A.3, A.5, A.6, A.7, A.11, A.12, A.13 and A.15. For each patient a library of CD3- cells (myeloid cells, considered tumor cells) and CD3+ cells (T cells, considered healthy) were generated.

  Dataset EGAD00001010188

• Sequencing data for oesophageal and related samples - Ganguli et al (RNA)

  Data supporting: "TBC" Ganguli et al (RNA for 394 samples)

  Dataset EGAD00001011190

• Dataset for Direct Detection of Early-Stage Cancers using Circulating Tumor DNA

  The dataset for Direct Detection of Early-Stage Cancers using Circulating Tumor DNA includes 602 bam files from next-generation sequencing on the Illumina HiSeq2500 or MiSeq. The samples analyzed include cancer cell lines as well as plasma and tissue specimens from healthy individuals and patients with cancer.

  Dataset EGAD00001003601

• Isotype-resolved sequencing of B cell receptor in measles virus infection (2017-09-13)

  Isotype-resolved sequencing of B cell receptor in measles virus infection 1) 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 please see http://www.sanger.ac.uk/datasharing/ This dataset contains all the data available for this study on 2017-09-13.

  Dataset EGAD00001003749

• WXS files for paper titled 'Genomic Landscape of Pediatric Myelodysplastic Syndromes'

  Paired whole exome sequencing for 32 primary MDS, 14 MDS/MPN, and 8 AML-MRC cases (total = 54). Normal comparator genomic DNA was extracted from lymphocytes purified by flow cytometry. Bulk myeloid cells were used as a source of tumor gDNA. Files uploaded are mapped BAM files.

  Dataset EGAD00001003781

• RNAseq files (dataset 1 of 2) for Mullighan PAX5_B-ALL

  RNAseq files (dataset 1 of 2) for Mullighan PAX5_B-ALL paper titled "PAX5-driven Subtypes of B-cell Acute Lymphoblastic Leukemia"

  Dataset EGAD00001004461

• RNAseq files (dataset 2 of 2) for Mullighan PAX5_B-ALL

  RNAseq files (dataset 2 of 2) for Mullighan PAX5_B-ALL paper titled "PAX5-driven Subtypes of B-cell Acute Lymphoblastic Leukemia"

  Dataset EGAD00001004463

• BLUEPRINT release August 2015, DNase-Hypersensitivity for alternatively activated macrophage, on genome GRCh38

  DNase-Hypersensitivity data for 1 alternatively activated macrophage sample(s). 1 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_dnaseseq_analysis_20150820

  Dataset EGAD00001001545

• BLUEPRINT release January 2015, DNase-Hypersensitivity for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell

  DNase-Hypersensitivity data for 1 CD34-negative, CD41-positive, CD42-positive megakaryocyte cell sample(s). 1 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_dnaseseq_analysis_20140811

  Dataset EGAD00001001161

• BLUEPRINT release January 2015, Bisulfite-Seq for Acute myeloid leukemia

  Bisulfite-Seq data for 1 Acute myeloid leukemia sample(s). 18 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 EGAD00001001162

• BLUEPRINT release January 2015, Bisulfite-Seq for Acute promyelocytic leukemia

  Bisulfite-Seq data for 3 Acute promyelocytic leukemia sample(s). 24 run(s), 3 experiment(s), 3 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 EGAD00001001167

• BLUEPRINT release January 2015, DNase-Hypersensitivity for CD14-positive, CD16-negative classical monocyte

  DNase-Hypersensitivity data for 5 CD14-positive, CD16-negative classical monocyte sample(s). 5 run(s), 5 experiment(s), 5 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_dnaseseq_analysis_20140811

  Dataset EGAD00001001130

• BLUEPRINT release January 2015, Bisulfite-Seq for Multiple myeloma

  Bisulfite-Seq data for 2 Multiple myeloma sample(s). 16 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 EGAD00001001152

• BLUEPRINT release August 2014, DNase-Hypersensitivity for CD14-positive, CD16-negative classical monocyte

  DNase-Hypersensitivity data for 5 CD14-positive, CD16-negative classical monocyte sample(s). 5 run(s), 5 experiment(s), 5 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_dnaseseq_analysis_20140811

  Dataset EGAD00001000905

• BLUEPRINT release August 2014, DNase-Hypersensitivity for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell

  DNase-Hypersensitivity data for 1 CD34-negative, CD41-positive, CD42-positive megakaryocyte cell sample(s). 1 run(s), 1 experiment(s), 1 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_dnaseseq_analysis_20140811

  Dataset EGAD00001000942

• BLUEPRINT release August 2014, Bisulfite-Seq for Multiple myeloma

  Bisulfite-Seq data for 2 Multiple myeloma sample(s). 16 run(s), 2 experiment(s), 2 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_bisulphite_analysis_CNAG_20140811

  Dataset EGAD00001000934

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW52_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW52_M

  Dataset EGAD00001001843

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW52_F

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW52_F

  Dataset EGAD00001001842

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW52_C

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW52_C

  Dataset EGAD00001001841

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW51_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW51_M

  Dataset EGAD00001001840

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW51_F

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW51_F

  Dataset EGAD00001001839

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW51_C

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW51_C

  Dataset EGAD00001001838

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW50_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW50_M

  Dataset EGAD00001001837

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW50_F

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW50_F

  Dataset EGAD00001001836