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• Genetic and transcriptomic landscape of DLBCL

  Affymetrix SNP6.0 data for 341 DLBCL patients

  Dataset EGAD00010001980

• BelCovid_2_genotype

  Cohort: Raw genotype files for BelCovid2 cohort. Genotype Chip: Illumina Global Screening Array-24 v3.0 + Multi-Disease beadchip genomic build: b37

  Dataset EGAD00010002179

• GEN_COVID_genotype

  Cohort: Raw genotype files for GEN_COVID cohort. Genotype Chip: Illumina Global Screening Array-24 v3.0 + Multi-Disease beadchip genomic build: b37

  Dataset EGAD00010002177

• RealSeqS ovarian amplicon counts

  Dataset contains text files that describe the chromosome, position, and read count for an amplicon using the RealSeqS assay.

  Dataset EGAD50000000013

• IMvigor130 heatmap Figure 2A

  Source data for Figure.2A heatmap showing the gene expression across samples.

  Dataset EGAD50000000139

• Time course acetalax bisacodyl treatment

  RNA-Seq raw data of PDX treated with acetalaxor bisacodyl for 4h00 to 24h00.

  Dataset EGAD50000000875

• HIV Viremic Non-Progressors (VNPs) and HIV Progressors Data Access Committee

  Data Access Committe for the project: Analyzing exome sequencing in HIV Viremic Non-Progressors (VNPs) and HIV Progressors

  Dac EGAC50000000062

• A Risk Score Incorporating Low Pass Whole Genome Sequencing of Cell Free DNA from Patients Receiving CD19 CAR T-Cell Therapy for Large B-Cell Lymphoma

  Study EGAS00001006308

• PacBio long-read scRNA-seq

  Full-length single-cell cDNA PacBio Kinnex whole-transcriptome sequencing data for adrenal sampleA and sampleB.

  Dataset EGAD50000002211

• Chun Lab DAC

  Data Access Committee (DAC) for datasets produced by the Chun Lab @ Sanford Burnham Prebys Medical Discovery Institute in La Jolla, California.

  Dac EGAC50000000011

• Reference epigenome KNIH008 WGBS data generated from KEP study

  A KNIH008 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for adipocytes

  Dataset EGAD00001002756

• IPF Core Biopsy Study RNA-Seq Fastqs

  RNA-Seq fastq files for 97 Idiopathic Pulmonary Fibrosis samples.

  Dataset EGAD00001007568

• Fecal WMS UC metadata

  Metadata for fecal WMS data from NCT02749630 ulcerative colitis patients.

  Dataset EGAD00001008820

• GRIDSS somatic sv vcfs for EGAS00001004572

  Bulk GRIDSS somatic sv vcfs from tumour-normal analysis in EGAS00001004572

  Dataset EGAD00001006906

• Neuroblastoma sequencing data

  This dataset contains tumor and normal whole exome DNA sequence data for a patient with neuroblastoma

  Dataset EGAD00001008120

• Reference epigenome ADMSC04_smRNA-Seq data generated from KEP study

  A ADMSC04_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003870

• Reference epigenome CKD27_C_Mesan_WGBS data generated from KEP study

  A CKD27_C_Mesan_WGBS paired end data for Mesangial cells(kidney)

  Dataset EGAD00001003471

• Reference epigenome CKD23_C_Mesan_WGBS data generated from KEP study

  A CKD23_C_Mesan_WGBS paired end data for Mesangial cells(kidney)

  Dataset EGAD00001003468

• Patient 16CH

  One file of patient 16 with WGS done on Illumina HiSeq X-Ten. For research purpose and authorised user only.

  Dataset EGAD00001003440

• FFPE Normal Panel V3 Cancer Panel

  FFPE normal panel generation for use with V3 cancer panel 0618521

  Dataset EGAD00001001122

• Strelka somatic snv vcfs for EGAS00001004572

  Bulk Strelka somatic snv vcfs from tumour-normal analysis in EGAS00001004572

  Dataset EGAD00001006907

• Rare Diseases Clinical Research Network (RDCRN) Vasculitis Clinical Research Consortium (VCRC) Longitudinal Protocol for Takayasu's Arteritis

  The development and validation of accurate biological markers and predictors of disease activity and outcome for Takayasu's arteritis, a form of idiopathic vasculitis, would have a major positive impact on the clinical care of patients with this rare disease, be an important advance in the design of clinical trials and feasibility of new drug development, and provide important insight into the pathogenesis of this condition. Current measures of disease activity, including erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), while helpful in selected settings, are mostly considered highly flawed and markers whose poor correlation with disease flares makes them inadequate to help guide therapy. Similarly, ESR and CRP are clearly unhelpful as diagnostic tests for vasculitis. The current state of clinical investigation for vasculitis relies heavily upon determination of disease status solely by clinical presentation and investigator opinion. Thus, discovery and validation of more precise markers that quantifiably measure activity, predict disease course, and correlate with an important biological process, would be of great importance. Knowledge to be gained from this study could potentially be highly important. Discovery of effective biomarkers of vasculitis and assessment of long term disease course and complications by the collection of clinical and diagnostic imaging studies proposed could lead to better care and less toxic treatment regimens. Furthermore, insight into the pathophysiology of vasculitis could be gained and this might lead to better treatments and improved outcomes in terms of reduction of vascular and treatment related complications. Ideally, excellent biomarkers reflect a sophisticated understanding of the pathophysiology of a disease.

  Study phs000589

• Imputed_genetics

  Imputed genetic data for INTERVAL proteomics cohort

  Dataset EGAD00010001544

• mtDNA-Roma

  mtDNA variant positions vcf files for 86 human samples

  Dataset EGAD00010001844

• Gene Expression Profiling for study EGAS00001004165

  Gene Expression Profiling from 44 Mantle Cell Lymphoma cases

  Dataset EGAD00010001842

• Sequencing data for oesophageal and related samples - OACs release 1 (RNA)

  Dataset EGAD00001002259

• Illumina BeadArray SNP arrays

  SNP measurement. Illumina BeadArray SNP arrays for the study "Molecular characteristics in Burkitt lymphoma over age groups"

  Dataset EGAD00010002137

• INMUNGEN_CoV2_genotype

  Cohort: Raw genotype files for INMUNGEN_CoV2 cohort. Genotype Chip: HumanCore Exome Chip (Illumina) and Axiom Spanish Biobank Array (Thermofisher) genomic build: b37

  Dataset EGAD00010002174

• Converging and evolving immuno-genomic routes towards immune escape in breast cancer

  Data access committe for the project: Converging and evolving immuno-genomic routes towards immune escape in breast cancer

  Dac EGAC50000000074

• Biomarker Data from KATHERINE: A Phase III Study of Adjuvant Trastuzumab Emtansine versus Trastuzumab in Patients with Residual Invasive Disease after Neoadjuvant Therapy for HER2-Positive Breast Cancer

  Study EGAS00001006229

• GEOCODE Cohort

  Transcriptomic profile for whole blood after 24hours of stimulations

  Dataset EGAD50000001320

• scWGS primaries

  Single cell WGS (low pass) for primary samples

  Dataset EGAD00001006138

• Follicular T cell lymphoma

  Paired-end RNA-seq of follicular T cell lymphoma for the discovery of fusion transcripts

  Dataset EGAD00001006379

• RNAseq BAM files

  RNAseq BAM files for Coding and non-coding mantle cell lymphoma driver mutations

  Dataset EGAD00001006268

• pilot

  Pilot study for genome-wide sequencing of cell-free DNA from nipple aspirate fluid and plasma of breast cancer patient

  Dataset EGAD00001010836

• Reference epigenome IPS01_N_Fibroblast_smRNA-Seq data generated from KEP study

  A IPS01_N_Fibroblast_smRNA-Seq single end data for iPSC(Oct4)

  Dataset EGAD00001003501

• Reference epigenome CKD25_C_Podo_WGBS data generated from KEP study

  A CKD25_C_Podo_WGBS paired end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003470

• Reference epigenome CKD24_C_Podo_WGBS data generated from KEP study

  A CKD24_C_Podo_WGBS paired end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003469

• Reference epigenome IPS04_X_Fibroblast_mRNA-Seq data generated from KEP study

  A IPS04_X_Fibroblast_mRNA-Seq paired end data for iPSC(Oct4)

  Dataset EGAD00001003491

• Reference epigenome OB57_D_PreA_WGBS data generated from KEP study

  A OB57_D_PreA_WGBS paired end data for Preadipocyte(fat)

  Dataset EGAD00001003480

• Reference epigenome IPS01_N_Fibroblast_mRNA-Seq data generated from KEP study

  A IPS01_N_Fibroblast_mRNA-Seq paired end data for iPSC(Oct4)

  Dataset EGAD00001003488

• Reference epigenome IPS04_X_Fibroblast_smRNA-Seq data generated from KEP study

  A IPS04_X_Fibroblast_smRNA-Seq single end data for iPSC(Oct4)

  Dataset EGAD00001003504

• ICGC PACA-CA Release21

  ICGC Release 21 for PACA-CA from OICR

  Dataset EGAD00001001956

• Hipo-032 Metastasome of Colorectal Cancer

  Whole genome sequencing of Control (blood), Tumor and metastasis triplets for 12 samples.

  Dataset EGAD00001003965

• Prostate WGS data (early onset)

  Whole genome sequencing for 131 early onset prostate tumor/control pairs (ICGC)

  Dataset EGAD00001003256

• Premalignant SOX2 in ovarian cancer patients

  Whole Genome Sequencing data set for the study "Premalignant SOX2 in ovarian cancer patients"

  Dataset EGAD00001002734

• Evaluation of the Efficacy and Safety of a Clinical Grade Human Induced Pluripotent Stem Cell-Derived Cardiomyocyte Patch: A Pre-Clinical Study

  Cardiomyocyte-derived induced pluripotent stem cells (iPSCs) may represent a promising therapeutic strategy for severely damaged myocardium. This study aimed to assess the efficacy and safety of clinical grade human iPSC-derived cardiomyocyte (hiPSC-CM) patches and conduct a pre-clinical proof-of-concept analysis.

  Study EGAS50000000188

• Genomic Sequencing of Solitary Fibrous Tumors

  Solitary fibrous tumors (SFTs) are rare mesenchymal tumors that can be benign or malignant. In this study, we sequenced and analyzed the exomes of 17 SFT matched tumor and normal pairs. This study appertains to a large endeavor to characterize cancers as part of the Slim Initiative for Genomic Medicine in the Americas (SIGMA) project.

  Study phs000568

• Multimodal Genomic Features Predict Outcome of Immune Checkpoint Blockade in Non-small Cell Lung Cancer

  This study evaluates integrated genomic models of response to immune checkpoint blockade for lung cancer patients. A computationally adjusted tumor mutation burden was combined with HLA class I genetic variation, mutational smoking signature and activating mutations in receptor tyrosine kinase genes to generate a prognostic classifier that outperforms tumor mutation burden.

  Study phs001940

• Spatiotemporal Analysis of the Human Cerebellum

  We sought to characterize neural progenitors within spatially demarcated regions of the human cerebellum at a molecular level during neurogenesis. We used laser-capture microdissection to enrich for cells within the ventricular zone and subventricular zone regions of the rhombic lip, external granule cell layer and Purkinje cell layer, then performed RNA-sequencing on the enriched samples.

  Study phs001908