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• The genetic analysis of circulating tumor DNA in blood of the digestive cancer patients to investigate the prognostic factors of metastasis and reccurence.

  A Darwinian evolutionary shift occurred early in the neutral evolution of advanced colorectal carcinoma (CRC) and copy number aberrations (CNA) were essential in the transition from adenoma to carcinoma. Subsequent to the primary evolution, we now focus on the evolutionary principle of the genome to foster postoperative recurrence of CRC. SO, We compared CNA, single nucleotide variance (SNV), RNA sequences between 8 primary and 11 metastatic sites from 10 CRCR cases.

  Study JGAS000221

• DGCR8 and the six hit, three-step model of schwannomatosis

  In our manuscript, we report the second case of a patient with peripheral schwannomatosis and thyroid alterations cause by the germline pathogenic variant E518K in DGCR8 and analyzed a total of 13 schwannomas from patients in the two kindreds identified up to date. Our analyses revealed how path to tumorigenesis prompted by DGCR8 requires the loss of the wild type allele of Chrm22q and in more than two thirds of the tumors a complete inactivation of NF2.

  Study EGAS00001005665

• ESGI___Whole_Genome_Sequencing_of_samples_from_the_Cilentogen_isolates

  Deep whole genome sequencing of sampels from the Cilento isolates. The samples are sequenced using the Illumina HiSeq X Ten system.

  Study EGAS00001001116

• The evolution of adult T-cell acute lymphoblastic leukemia

  We profile the whole-genome of 19 primary T-ALLs from adult patients and the corresponding relapse malignancies. Concretely, samples were taken at the time of diagnosis (primary), at time of remission (used as control) and at recurrence of the malignancy after treatment (relapse). The libraries were sequenced on HiSeq 4000 or NovaSeq 6000 (Illumina) with a paired-end read length of 2x151bp.

  Study EGAS00001004750

• Spatial Dynamics of the Developing Heart (single-cell)

  Heart development relies on a topologically defined interplay between diverse cardiac cells. We finely curated spatial and single-cell measurements with high-resolution imaging-based transcriptomics validation to explore spatial dynamics during early human cardiogenesis. Analyzing almost 80,000 individual cells and 70,000 spatially barcoded tissue regions between the 5.5th and 14th postconceptional weeks, we identified 31 coarse- and 72 fine-grained cell states and mapped them to highly resolved cardiac cellular niches. We provide novel insight into the development of the cardiac pacemaker-conduction system, heart valves, and atrial septum, and decipher heterogeneity of the hitherto elusive cardiac fibroblast population. Furthermore, we describe the formation of the cardiac autonomic innervation and present the first spatial account of chromaffin cells in the fetal human heart. Our study, supported by an open-access, spatially centric interactive viewer, delineates the cellular and molecular architecture of the developing heart, offering links to genetic causes of heart disease.

  Study EGAS50000001029

• Spatial Dynamics of the Developing Human Heart

  Heart development relies on a topologically defined interplay between diverse cardiac cells. We finely curated spatial and single-cell measurements with high-resolution imaging-based transcriptomics validation to explore spatial dynamics during early human cardiogenesis. Analyzing almost 80,000 individual cells and 70,000 spatially barcoded tissue regions between the 5.5th and 14th postconceptional weeks, we identified 31 coarse- and 72 fine-grained cell states and mapped them to highly resolved cardiac cellular niches. We provide novel insight into the development of the cardiac pacemaker-conduction system, heart valves, and atrial septum, and decipher heterogeneity of the hitherto elusive cardiac fibroblast population. Furthermore, we describe the formation of the cardiac autonomic innervation and present the first spatial account of chromaffin cells in the fetal human heart. Our study, supported by an open-access, spatially centric interactive viewer, delineates the cellular and molecular architecture of the developing heart, offering links to genetic causes of heart disease.

  Study EGAS50000001122

• DAC for "Capturing disease severity in LIS1-lissencephaly reveals proteostasis dysregulation in patient-derived forebrain organoids" with Julia Ladewig(Julia.ladewig@zi-mannheim.de), Moritz Mall(m.mall@dkfz-heidelberg.de), and Matteo Gasparotto(matteo.gasparotto@zi-mannheim.de)

  Dac EGAC00001003588

• Division of Cancer Evolution National Cancer Center Research Institute Data Access Committee

  Data Access Committee for data from Division of Cancer Evolution, National Cancer Center Research Institute

  Dac EGAC50000000737

• SiMSen‑Seq

  High resolution amplicon-bases sequencing o screen for PIK3CA hot spot mutations

  Dataset EGAD50000001668

• GEOCODE Cohort

  Transcriptomic profile for whole blood after 24hours of stimulations

  Dataset EGAD50000001320

• Effects of interferon-gamma treatment on human small intestinal organoids.

  Intestinal organoids treated with interferon-gamma 1 ng/mL either for 6h or 18h.

  Dataset EGAD50000000115

• Medulloblastoma dataset

  This dataset contains a tumor + normal DNA sequence data and tumor RNA seq data for a medulloblastoma patient.

  Dataset EGAD50000000384

• Reference epigenome CKD24_C_Podo_mRNA-Seq data generated from KEP study

  A CKD24_C_Podo_mRNA-Seq paired end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003482

• Reference epigenome CKD25_C_Podo_mRNA-Seq data generated from KEP study

  A CKD25_C_Podo_mRNA-Seq paired end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003483

• Reference epigenome OB57_D_PreA_mRNA-Seq data generated from KEP study

  A OB57_D_PreA_mRNA-Seq paired end data for Preadipocyte(fat)

  Dataset EGAD00001003487

• Reference epigenome OB56_N_PreA_smRNA-Seq data generated from KEP study

  A OB56_N_PreA_smRNA-Seq single end data for Preadipocytes(fat)

  Dataset EGAD00001003495

• Reference epigenome OB57_D_PreA_smRNA-Seq data generated from KEP study

  A OB57_D_PreA_smRNA-Seq single end data for Preadipocyte(fat)

  Dataset EGAD00001003496

• Reference epigenome CKD24_C_Podo_smRNA-Seq data generated from KEP study

  A CKD24_C_Podo_smRNA-Seq single end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003498

• Reference epigenome CKD25_C_Podo_smRNA-Seq data generated from KEP study

  A CKD25_C_Podo_smRNA-Seq single end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003499

• RNA-Seq Pair End

  RNA analysis of two patients 11 and 15 with WGS done on Illumina HiSeq2000. For research purpose and authorised user only.

  Dataset EGAD00001003429

• Illumina HiSeq 2000

  Three files of patients 20, 23 and 25 with WGS done on Illumina HiSeq 2000. For research purpose and authorised user only.

  Dataset EGAD00001003438

• Reference epigenome IPS02_N_NPC_WGBS data generated from KEP study

  A IPS02_N_NPC_WGBS paired end data for Neural progenitor cells(Nestin)

  Dataset EGAD00001003474

• Reference epigenome IPS03_N_ENeuron_WGBS data generated from KEP study

  A IPS03_N_ENeuron_WGBS paired end data for Early neuron cells(Tuj1)

  Dataset EGAD00001003475

• ATAC-seq for placental and buffycoat cells.

  We performed ATAC-seq experiments using 2 placental samples and 2 buffycoat samples.

  Dataset EGAD00001004291

• Molecular heterogeneity and commonalities in pancreatic cancer precursors with gastric and intestinal phenotype

  Due to the limited number of modifiable risk factors, secondary prevention strategies based on early diagnosis represent the preferred route to improve the prognosis of pancreatic ductal adenocarcinoma (PDAC). Here, we provide a comparative morphogenetic analysis of PDAC precursors aiming at dissecting the process of carcinogenesis and tackling the heterogeneity of preinvasive lesions.

  Study EGAS00001006793

• The biology of cell-free DNA fragmentation and the roles ofDNASE1, DNASE1L3 and DFFB

  The biology of cell-free DNA fragmentation and the roles of DNASE1, DNASE1L3 and DFFB

  Study EGAS00001003514

• HCA_Gut_Paediatric_Hirschsprung_s_disease_Teichmann_WGS_Managed_Access

  This study involves atlasing the development of the postnatal gut nervous system in order to elucidate the pathogenic mechanisms of Hirschsprung disease.

  Study EGAS00001007437

• HCA_Gut_Paediatric_Hirschsprung_s_disease_Teichmann_Spatial_Managed_Access_

  This study involves atlasing the development of the postnatal gut nervous system in order to elucidate the pathogenic mechanisms of Hirschsprung disease.

  Study EGAS00001007152

• HCA_Gut_Paediatric_Hirschsprung_s_disease_Teichmann_RNA_Managed_Access_

  This study involves atlasing the development of the postnatal gut nervous system in order to elucidate the pathogenic mechanisms of Hirschsprung disease.

  Study EGAS00001007151

• 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

• STREP GENE: Genetics and Severe Streptococcal Infections

  This study investigated host genetic susceptibility to invasive group A streptococcal disease in the UK. Cases were either survivors recruited retrospectively through a patient group or identified from the a tissue bank at Imperial College London. Those recruited through the patient group had survived an episode of invasive GAS disease at a UK hospital since 1980 with microbiological confirmation obtained either through Public Health England or from the treating hospital. Those identified from the tissue bank had been diagnosed with invasive GAS disease at the Hammersmith Hospital, London, UK, since 2006. All cases aged less than 65 years without long-term medical conditions genome-wide genotyped using either the Illumina HumanCore or the Global Screening Array platform.

  Study EGAS00001003421

• The Haplotype Reference Consortium

  The Haplotype Reference Consortium (HRC) will create a large reference panel of human haplotypes by combining together sequencing data from multiple cohorts. By combining together multiple cohorts, the reference panels produced by the project will be as large as possible in terms of both number of haplotypes, and numbers of variants. This will increase the accuracy of the genotype imputation, especially at low-frequency variants, and the number of imputable variants, thus increasing the power of GWAS.

  Study EGAS00001001710

• The genomic landscape of large and small tumors in early-onset prostate cancer patients

  This study characterizes the genomic landscape of prostate cancer (PCA) cells in patients below or at the age of 50 years. Tumors of such early onset patients already show a broad spectrum of sizes. To test if the size differences are indicative of special cancer subgroups, we sequenced the genome of the tumor cells and matched control samples from blood.

  Study EGAS00001000383

• Genetic Mechanisms of Disease Lab DAC

  Data access for raw and processed H3K27ac ChIP-seq and ATAC-seq data from "Effect of ETS2 modulation on chromatin accessibility and enhancer activity in human macrophages".

  Dac EGAC50000000087

• Small RNA sequencing dataset from human prefrontal cortex tissue - ALS vs CTR

  For mature miRNAs and hairpins, BAM and FASTq files

  Dataset EGAD50000000468

• TOAPR-B patient cell-free DNA WGS and WES

  Sequencing files for TOPARP-B patients as described in manuscript

  Dataset EGAD50000000407

• Genentech_cell_line_SNP

  SNP array data for 668 cancer cell lines

  Dataset EGAD00010000951

• DATA FILES FOR SJHYPO

  Hypodiploid acute lymphoblastic leukemia whole genome sequencing

  Dataset EGAD00001000260

• Reference epigenome DB31_N_Alpha_WGBS data generated from KEP study

  A DB31_N_Alpha_WGBS paired end data for alpha cells(PSA-NCAM(-), pancreas)

  Dataset EGAD00001003472

• Reference epigenome ADMSC01_ChIP-Seq(H3K27me3) data generated from KEP study

  A ADMSC01_ChIP-Seq(H3K27me3) paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003854

• Reference epigenome ADMSC02_ChIP-Seq(H3K27me3) data generated from KEP study

  A ADMSC02_ChIP-Seq(H3K27me3) paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003855

• Reference epigenome ADMSC03_ChIP-Seq(H3K27me3) data generated from KEP study

  A ADMSC03_ChIP-Seq(H3K27me3) paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003856

• Reference epigenome ADMSC04_ChIP-Seq(H3K27me3) data generated from KEP study

  A ADMSC04_ChIP-Seq(H3K27me3) paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003857

• Reference epigenome SMC01_smRNA-Seq data generated from KEP study

  A SMC01_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003858

• Reference epigenome SMC02_smRNA-Seq data generated from KEP study

  A SMC02_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003859

• Reference epigenome SMC03_smRNA-Seq data generated from KEP study

  A SMC03_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003860

• Reference epigenome SMC04_smRNA-Seq data generated from KEP study

  A SMC04_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003861

• Reference epigenome SMC05_smRNA-Seq data generated from KEP study

  A SMC05_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003862

• Reference epigenome SMC06_smRNA-Seq data generated from KEP study

  A SMC06_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003863

• Reference epigenome SMC07_smRNA-Seq data generated from KEP study

  A SMC07_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003864

• Reference epigenome SMC08_smRNA-Seq data generated from KEP study

  A SMC08_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003865

• Reference epigenome SMC09_smRNA-Seq data generated from KEP study

  A SMC09_smRNA-Seq single end data for skeletal muscle cells

  Dataset EGAD00001003866

• Reference epigenome ADMSC01_WGBS data generated from KEP study

  A ADMSC01_WGBS paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003878

• Reference epigenome ADMSC02_WGBS data generated from KEP study

  A ADMSC02_WGBS paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003879

• Reference epigenome ADMSC03_WGBS data generated from KEP study

  A ADMSC03_WGBS paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003880

• Reference epigenome ADMSC04_WGBS data generated from KEP study

  A ADMSC04_WGBS paired end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003881

• GoNL raw sequence data in fastq format

  Raw sequencing data for all samples in fastq format.

  Dataset EGAD00001000821

• Reference epigenome KNIH007 mRNA-seq data generated from KEP study

  A KNIH007 mRNA-seq paired end data for adipocytes

  Dataset EGAD00001002173

• Reference epigenome KNIH008 mRNA-seq data generated from KEP study

  A KNIH008 mRNA-seq paired end data for adipocytes

  Dataset EGAD00001002174

• Reference epigenome KNIH009 mRNA-seq data generated from KEP study

  A KNIH009 mRNA-seq paired end data for preadipocytes

  Dataset EGAD00001002175

• Exome

  Exome Seq for EGAS00001001845

  Dataset EGAD00001002160

• Reference epigenome KNIH010 WGBS data generated from KEP study

  A KNIH010 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for podocytes

  Dataset EGAD00001002758

• Reference epigenome KNIH011 WGBS data generated from KEP study

  A KNIH011 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for podocytes

  Dataset EGAD00001002759

• Reference epigenome KNIH007 miRNA-seq data generated from KEP study

  A KNIH007 miRNA-seq single end data for adipocytes

  Dataset EGAD00001002766

• Reference epigenome KNIH008 miRNA-seq data generated from KEP study

  A KNIH008 miRNA-seq single end data for adipocytes

  Dataset EGAD00001002767

• Reference epigenome KNIH009 miRNA-seq data generated from KEP study

  A KNIH009 miRNA-seq single end data for preadipocytes

  Dataset EGAD00001002768

• Whole Exome Sequencing

  Whole Exome Sequencing for a cohort of 20 B-ALL samples : 5 Down syndrome (DS), 7 Hyperdiploid (HeH), 3 iAMP21 and 5 others.

  Dataset EGAD00001005425

• Sporadic multiple meningioma Genomics

  Wes for 15 multiple meningioma samples from 6 individual

  Dataset EGAD00001008710

• PDX WES

  2 patient-derived xenograph tumours, and associated normal blood samples. Duplicated samples for each gave 8 pairs of fastq files

  Dataset EGAD00001009657

• Validation of a genome-wide polygenic score for body mass index in South Asians

  Genotyping data of BMI model markers generated using Global Screening Array (Illumina Inc.)

  Dataset EGAD00001015700

• Transcriptomic analysis of the response of AC16 cardiomyocytes with the rs1136201 variant to trastuzumab

  This study investigates the implication of the rs1136201 variant in cardiotoxicity in in vitro models of human cardiomyocytes exposed to trastuzumab. Methods: We generated AC16 ventricular cardiomyocyte cell models representing the three genotypes of the rs1136201 variant and performed transcriptomic analysis following trastuzumab exposure on cells expressing increasing levels of expression of HER2 (i.e. low, medium, high)

  Study EGAS50000001197

• Deciphering the mutational landscape and the genome organization of LMS

  Leiomyosarcoma (LMS) are an uncommon group of malignant mesenchymal tumors composed of cells showing distinct smooth muscle differentiation. These tumors occur mainly in adults in any location of the body (soft-tissue, viscera or uterine). Soft-tissue LMS represent 10-15% of all soft-tissue sarcomas. The most frequent locations are the limbs followed by the retroperitoneum and uterine.

  Study EGAS00001001262

• Multiple_Myeloma_Diagnosis_to_Relapse_study_samples

  The study will investigate serial samples from the same patient taken at the time of MGUS or SMM diagnosis, and later at the time of evolution towards MM. Samples will be sequenced by whole genome along with a matched normal to obtain the highest possible amount of information toinvestigate genomic changes at disease evolution.

  Study EGAS00001001299

• Somatic_mutation_and_clonal_evolution_in_the_human_bladder_WES

  In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The data in this study will be generated by whole-exome sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer.

  Study EGAS00001002842

• Somatic_mutation_and_clonal_evolution_in_the_human_bladder_WGS

  In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The data in this study will be generated by whole-genome sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer.

  Study EGAS00001002658

• single cell RNA-seq and ATAC-seq of human fetal forebrain tissue

  Oligodendrogenesis in the human central nervous system has been mainly observed at the second trimester of gestation, a much later developmental stage compared to mouse. Here we characterize the transcriptomic neural diversity in the human forebrain at post conceptual weeks (PCW) 8 to 10, using single-cell RNA-Seq. We find evidence of the emergence of a first wave of oligodendrocyte lineage cells as early as PCW 8, which we also confirm at the epigenomic level with single-cell ATAC-Seq. Using regulatory network inference, we predict key transcriptional events leading to the specification of oligodendrocyte precursor cells (OPCs). Moreover, by profiling the spatial expression of fifty key genes using In Situ Sequencing (ISS), we identify regions in the human ventral fetal forebrain where oligodendrogenesis first occurs. Our results indicate evolutionary conservation of the first wave of oligodendrogenesis between mouse and human and describe regulatory mechanisms involved in human OPC specification.

  Study EGAS00001006136

• Genetic Variants Influence on the Placenta Regulatory Landscape

  This study of the regulatory landscape of the placenta relies on the identification of associations between genetic variant and gene expression changes (eQTLs); genetic variant and DNA methylation changes (mQTLs); and, gene expression change and DNA methylation change (eQTMs). It involves the analysis of DNA sequence variation (n=303), DNA methylation (n=303) and mRNA expression data (n=80) from placentas from healthy women. Such studies are crucial to fully apprehend the complexity of the regulatory landscape and to support further analysis focusing and disease driven phenotype.

  Study phs001717

• RISE-UP study: riboflavin supplementation in Crohn's disease

  Taxonomic classification of the fecal microbiota of Crohn's disease patients showing the shift in the gut bacterial community after riboflavin supplementation.

  Study EGAS50000000982

• DNA-seq from plasma of 14 liver transplantation patients

  We performed DNA sequencing on the plasma of 14 liver transplantation patients to study the liver DNA in the plasma.

  Study EGAS00001003116

• Tagmentation-based Whole Genome Bisulfite Sequencing

  We demonstrated the reliability of the tagmentation-based whole genome bisulfite sequencing in direct comparison with the conventional whole genome bisulfite sequencing.

  Study EGAS00001000528

• NHLBI TOPMed: Cleveland Clinic Atrial Fibrillation (CCAF) Study

  The Cleveland Clinic Atrial Fibrillation Study consists of clinical and genetic data of patients with atrial fibrillation and control cohorts from the Cleveland Clinic CV/Arrhythmia Biobank, including the Cleveland Clinic Lone Atrial Fibrillation GeneBank. The Cleveland Clinic Lone AF GeneBank Study has enrolled patients with lone AF, defined as AF in the absence of significant structural heart disease. The CV/Arrhythmia Biobank has also enrolled participants with non-lone atrial fibrillation. All patients provided written informed consent.

  Study phs001189

• Khoe-San Genome Project

  The dataset contains BAM files of whole genome sequencing data of African Khoe-San population (n=169, 30X coverage) recruited from South Africa and Namibia. The population captured the true extent of human genetic diversity as represent the earliest diverged human population. The project described a detailed divergence of human population and identified positive selections associated forager lifestyles in Khoe-San population. These findings emphasise an inclusive catalogue with better representation of the earliest human genomic diversity to better advance biomedical research.

  Study EGAS50000001408

• Whole-genome low pass sequencing of 3,514 Sardinian individuals

  The dataset includes the VCF files with the list of variants, and their frequency, found in 3,514 Sardinian individuals recruited from the SardiNIA longitudinal study (N=2090) and from a case-control study of autoimmune diseases in Sardinia (N=1424).

  Study EGAS00001002212

• Walter and Eliza Hall Institute - University of Melbourne

  Data Access Committee for Gocuk, Lancaster et al. 2024: nanopore sequencing data of patients with choroideremia and X-linked retinitis pigmentosa, to determine X inactivation skew.

  Dac EGAC50000000301

• RCC trial WES dataset

  This dataset includes WES data for 116 runs, corresponding to 58 pairs of normal(PBMC)/tumor samples from 58 patients (116 BAM files).

  Dataset EGAD50000000953

• MS-Twins-EPIC-PBMCs

  Genome-wide DNA methylation profiles of MZ twins clinically discordant for MS generated using Illumina’s Infinium MethylationEPIC BeadChip assay (EPIC array)

  Dataset EGAD00010001618

• GR@ACE_StageI.v01

  Binary Plink files for pre-GWAS quality control in 7409 samples genotyped using Axiom 815K Spanish Biobank array (Thermo Fisher)

  Dataset EGAD00010001654

• Sequencing data for ICGC Oesophageal Adenocarcinoma tissue samples - side_cases_barretts

  Dataset EGAD00001001379

• Reference epigenome IPS02_N_NPC_mRNA-Seq data generated from KEP study

  A IPS02_N_NPC_mRNA-Seq paired end data for Neural progenitor cells(Nestin)

  Dataset EGAD00001003489

• Reference epigenome IPS03_N_ENeuron_mRNA-Seq data generated from KEP study

  A IPS03_N_ENeuron_mRNA-Seq paired end data for Early neuron cells(Tuj1)

  Dataset EGAD00001003490

• Reference epigenome IPS05_X_NPC_mRNA-Seq data generated from KEP study

  A IPS05_X_NPC_mRNA-Seq paired end data for Neural progenitor cells(Nestin)

  Dataset EGAD00001003492

• Reference epigenome IPS06_X_ENeuron_mRNA-Seq data generated from KEP study

  A IPS06_X_ENeuron_mRNA-Seq paired end data for Early neuron cells(Tuj1)

  Dataset EGAD00001003493

• Reference epigenome IPS02_N_NPC_smRNA-Seq data generated from KEP study

  A IPS02_N_NPC_smRNA-Seq single end data for Neural progenitor cells(Nestin)

  Dataset EGAD00001003502

• Reference epigenome IPS03_N_ENeuron_smRNA-Seq data generated from KEP study

  A IPS03_N_ENeuron_smRNA-Seq single end data for Early neuron cells(Tuj1)

  Dataset EGAD00001003503

• Reference epigenome IPS05_X_NPC_smRNA-Seq data generated from KEP study

  A IPS05_X_NPC_smRNA-Seq single end data for Neural progenitor cells(Nestin)

  Dataset EGAD00001003505

• Reference epigenome IPS06_X_ENeuron_smRNA-Seq data generated from KEP study

  A IPS06_X_ENeuron_smRNA-Seq single end data for Early neuron cells(Tuj1)

  Dataset EGAD00001003506

• HIV exome pilot, exome data hs37d5

  exome sequence data for 57 HIV elite long term non-progressors and rapid progressors. Complete dataset of improved BAMs mapped to hs37d5 and including phenotype information.

  Dataset EGAD00001003345

• Illumina HiSeq X Ten

  Three files of patients 10, 11 and 13 with WGS done on Illumina HiSeq X Ten. For research purpose and authorised user only.

  Dataset EGAD00001003439

• Oxford Human islet ATAC-seq dataset of 5 human islets

  ATAC-seq data for 5 non-diabetic human pancreatic islet samples

  Dataset EGAD00001003759

• Benchmark and validation of whole exome sequencing of a trio and singleton for mobile element detection.

  Illumina HiSeq paired-end exome sequencing of a trio and singleton.

  Dataset EGAD00001000883