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• Metatranscriptomic Sequencing of Pre-Transplant Bronchoalveolar Lavage in Pediatric Stem Cell Transplant Patients

  Children with malignancies, immunodeficiencies, and other life-threatening diseases sometimes receive allogeneic hematopoietic cell transplantation (HCT) as a treatment for their disease. The HCT process can be complicated by the development of lung disease from infection, alloreactivity, or other causes. To identify patients at-risk for post-HCT lung disease, this study uses metatranscriptomic RNA sequencing of bronchoalveolar lavage (BAL) obtained prior to HCT. Sequencing results are associated with the development of post-HCT lung injury. 

  Study phs002208

• Ontario Familial Colon Cancer Registry Single Nucleotide Polymorphisms and CpG Methylation (OFCCR SNP-CpG)

  We profiled the methylation landscape of ~2100 DNA samples (~1100 cases of colorectal cancer and ~1000 controls) from the Ontario Familial Colon Cancer Registry (OFCCR) using the HumanMethylation450 array from Illumina. DNA was extracted from lymphocyte pellets, except for 99 samples for which DNA was extracted from lymphoblastoid cell lines. Samples were genotyped on the Affymetrix Human Mapping 100k and 500k arrays. The aim the study was to evaluate the interplay between genetic variation and methylation, including long-range epigenetic regulation.

  Study phs000779

• CCG Multicentric Italian Lung Detection (MILD)

  For the CCG-MILD project, NCI will utilize whole genome sequencing and/or whole exome sequencing in conjunction with transcriptome sequencing to try to identify recurrent genetic alterations (mutations, deletions, amplifications, rearrangements) and/or gene expression signatures that would be important to the hypothesis(es) submitted by the investigators. The samples will be processed and submitted for genomic characterization using the established NCI Genome Characterization Pipeline. Subsequent genomic and clinical data will be hosted at the NCI Genomic Data Commons (GDC).

  Study phs002253

• High-throughput determination of the antigen specificities of T cell receptors in single cells

  High-throughput linking of T cell receptor (TCR) sequences to their binding antigens is vital for immune profiling, yet challenging. We present Tetramer associated TCR Sequencing (TetTCR-Seq) to address this challenge. Binding is determined using a library of DNA-barcoded antigen tetramers that are rapidly and inexpensively generated using an in vitro transcription/translation platform. We included CMV+ donors (CMV seropositive donors who are infected with Cytomegalovirus) to screen for CMV specific TCRs.

  Study phs001678

• VitGene Generalized Vitiligo Genetics Study-Phase 2

  Generalized vitiligo is an autoimmune disease in which melanocyte loss results in patchy depigmentation of skin and hair. For this third GWAS of generalized vitiligo, SNPs were genotyped in 1,059 generalized vitiligo cases of European-derived white (EUR) ancestry using the Illumina Human OmniExpress BeadChip array. The data were combined with those of Phase 1 and Phase 2 to provide at least 85% power to detect associations with OR > 1.22 at genome-wide significance (P = 5 x 10-8) for MAF > 0.25.

  Study phs000224

• UW TAN Study of Metastatic Urothelial Carcinoma

  Patients with metastatic urothelial carcinoma treated at our institution, who elected to undergo rapid autopsy at the time of death, are included in this study. These patients agreed to submit their tissue (normal samples for germline analysis [kidney or liver] as well as primary and metastatic tumor sites [urothelial carcinoma]) and the time of autopsy. Each patient signed consent to allow study of these tissues including histologic, sequencing (DNA/RNA), and implantation in to animals as able for future study.

  Study phs001797

• Transcriptome HCCO Hypoxia and Doxorubicin resistance

  We hypothesized that HCCO-intrinsic determinants of response to hypoxia or doxorubicin could be reflected in the gene expression profiles of the HCCOs. Therefore, we selected for comparative transcriptomic analysis two sets of 4 HCCO lines that were severely (hypoxia-sensitive) or barely affected (hypoxia-resistant) by hypoxia in an ATP-based proliferation assay or two sets of 4 HCCO lines whose doxorubicin response curves were clearly separated both under normoxic and hypoxic culture conditions for comparative transcriptomic analysis.

  Study EGAS50000000042

• Genomic Data Access Committee for Early and Late Onset Colorectal Cancer Study

  This Data Access Committee (DAC) manages access to genomic data generated from the study "A Clinically and Genomically Annotated Early Onset Colorectal Cancer and Late Onset Colorectal Cancer." The study focuses on identifying the distinct genomic profiles of early-onset colorectal cancer (EOCRC) compared to late-onset colorectal cancer (LOCRC) through whole-genome sequencing (WGS) of both tissue and blood samples. The DAC is responsible for reviewing and approving access requests from researchers who wish to utilize this data for non-commercial, academic purposes related to colorectal cancer research. The committee ensures that all data access is granted in compliance with ethical standards and that the data is used solely for the approved research objectives. Researchers requesting access to this data must provide a detailed research proposal, institutional review board (IRB) approval, and demonstrate relevant expertise in genomic research. All data will be stored in secure, encrypted environments, and any further sharing or use of the data requires additional DAC approval.

  Dac EGAC50000000359

• A first step towards clinical routine long-read sequencing in Sweden, a national pilot study on chromosomal rearrangements

  Here, the Genomic Medicine Sweden Rare Diseases (GMS-RD) consortium validated HiFi Revio long-read whole genome sequencing (lrGS) for clinical digital karyotyping of SVs nationwide. The first 16 samples included in this study were collected from all health care regions in Sweden. We established a national pipeline and a shared variant database for variant calling and filtering. The included validation samples cover a spectrum of simple and complex SVs including inversions, translocations and copy number variants.

  Study EGAS50000000468

• A Large-Scale, Consortium-Based Genomewide Association Study of Asthma

  We carried out a genomewide association study by genotyping 10,365 persons with physician-diagnosed asthma and 16,110 unaffected persons, all of whom were matched for ancestry. We used random-effects pooled analysis to test for association in the overall study population and in subgroups of subjects with childhood-onset asthma (defined as asthma developing before 16 years of age), later-onset asthma, severe asthma, and occupational asthma.

  Study EGAS00000000077

• Atezolizumab and Bevacizumab in Treating Patients With Rare Solid Tumors

  This phase Ib/II single-arm study evaluated atezolizumab + bevacizumab for patients with treatment-refractory metastatic HPV+ anal cancer. The primary endpoint was best overall response, and secondary endpoints included progression-free survival, overall survival, and safety/tolerability. Paired tissue biopsies were collected in patients before treatment and at the time of first restaging and analyzed for whole-exome sequencing, RNAseq (Bulk), and multiplex immunofluorescence. The overall response rate among 20 patients was 10%. WES and RNAseq data are provided here.

  Study phs003845

• Childhood Cancer Data Initiative (CCDI): Pediatric In Vivo Testing Program – Sarcomas and other Solid Tumors

  The primary goal of this project involves the comprehensive molecular profiling of patient-derived xenograft (PDX) mouse tumor models. Molecular profiling of each PDX model will include whole exome sequencing (WES), RNAseq, MethylEPIC arrays, CytoSNP array, and DNA fingerprint for quality control. Limited clinical demographic data (e.g. diagnosis, disease site, disease status) will be obtained. This data can be utilized to validate PDX models with matched patient tumors and can be used to guide model selection for downstream preclinical drug testing.

  Study phs003161

• Genome and transcriptome sequencing of cancer of unknown primary tumours

  Genome and transcriptome sequencing of cancer of unknown primary tumours was used to determine yield of clinical biomarkers for a molecular guided trial or for resolving cancer type of origin. This study includes profiling of germline DNA and tumour DNA by whole genome sequencing of tissue and cfDNA biopsies, as well as targeted genome sequencing using two panels, including Comprehensive cancer panel (CCP) and TruSight Oncology 500 (TSO500). This study also includes profiling of tumour RNA by whole transcriptome sequencing.

  Study EGAS50000000452

• Tumor-associated neutrophil 1 precursors impair homologous DNA repair and promote sensitivity to PARP-inhibition

  Tumor evolution is one of the major mechanisms responsible for acquiring therapy resistant and more aggressive cancer clones. Whether the tumor microenvironment through immune-mediated mechanisms might promote the development of more aggressive cancer types is crucial for the identification of additional therapeutical opportunities. Here, we identify a subset of tumor-associated neutrophils, defined as tumor-associated neutrophil precursors (PreNeu). These PreNeu are enriched in highly proliferative hormone-dependent breast cancers and impair DNA repair capacity

  Study EGAS00001008154

• Emirati Diploid Single Samples Assemblies

  This study, as part of the Emirati Genome Project, aims to establish a foundational pangenome reference to advance precision medicine in the United Arab Emirates. We are generating single-sample diploid whole genome assemblies for 30 Emirati nationals using deep PacBio HiFi sequencing. This process yielded 60 distinct assemblies representing both the maternal and paternal genomes for each individual. The resulting high-quality reference will capture the unique genetic landscape of the Emirati population, thereby accelerating translational research and genomic discovery.

  Study EGAS50000001233

• Emirati Phased Diploid Trio-Assemblies

  This study, conducted under the Emirati Genome Project, aims to build a foundational pangenome reference to enable precision medicine in the United Arab Emirates. We generated phased diploid genome assemblies for 27 Emirati nationals using deep PacBio HiFi sequencing and a trio-based assembly procedure. In total, this produced 54 haplotype-resolved assemblies representing maternal and paternal genomes for each participant. The resulting high-quality reference captures population-specific genetic diversity and will accelerate translational research, variant interpretation, and genome-informed healthcare in the region.

  Study EGAS50000001234

• Genetic differences between primary colorectal cancer and its paired synchronous and metachronous metastases

  In this study we present for the first time the genetic differences associated with different chronicity of colorectal cancer liver metastases identified by whole-exome sequencing of 210 CRC samples. We focus on differences in primary tumors as we hypothesize that these are the cause of the differences in the time course of the disease. The results suggest that distinct tumor progression pathways account for different chronicity outcomes with ultimate impact on patient’s prognosis

  Study EGAS50000000996

• WES sequencing of metastatic colorectal cancer patient-derived xenografts with known response to irinotecan.

  Chemotherapy is the standard-of-care treatment for metastatic colorectal cancer (mCRC) and benefits some patients, but what distinguishes responders from non-responders is unclear. In this study, we expand a pre-existing collection (https://doi.org/10.1158/2159-8290.CD-24-0556) of molecularly annotated patient-derived xenografts to uncover functional predictors of response to 5-FU and irinotecan combination therapy (FOLFIRI) in mCRC. We complemented previous mutational profiles with whole exome sequencing for 46 xenografts with known response to irinotecan.

  Study EGAS50000001484

• Bulk RNA sequencing of metastatic colorectal cancer patient-derived xenografts with known response to irinotecan

  Chemotherapy is the standard-of-care treatment for metastatic colorectal cancer (mCRC) and benefits some patients, but what distinguishes responders from non-responders is unclear. In this study, we expand a pre-existing collection (https://doi.org/10.1158/2159-8290.CD-24-0556) of molecularly annotated patient-derived xenografts to uncover functional predictors of response to 5-FU and irinotecan combination therapy (FOLFIRI) in mCRC. We complemented previous expression profiles with bulk RNAseq for 38 xenografts with known response to irinotecan.

  Study EGAS50000001485

• Jeju Genome Project

  The Jeju Genome Project (JGP) is a multi-omics resource for precision medicine in a geographically distinct South Korean population. It comprises 5,309 participants (3,001 community-based; 2,308 hospital-based) with data spanning Whole-Genome Sequencing (WGS) and genotyping arrays. The hospital cohort is specifically enriched for neurological and rheumatic diseases and malignancies. By providing a population-specific reference panel, JGP enables high-resolution genetic architecture analysis, risk stratification, and the discovery of rare variants relevant to Jeju and broader East Asian populations.

  Study EGAS50000001706

• WGBS data of solid liver tumor DNA, and WGBS data of cell-free DNA derived from human blood, for CancerDetector study

  The blood samples of four liver cancer patients and four healthy people, and the solid liver tumor samples of two liver cancer patients are collected for this dataset. Blood samples were centrifuged first at 1,600 × g for 10 minutes, and then the plasma was transferred into new micro tubes and centrifuged at 16,000 × g for another 10 minutes. The plasma was collected and stored at -80⁰C. CfDNA was extracted from 5 ml plasma using the Qiagen QIAamp Circulating Nucleic Acids Kit and quantified by Qubit 3.0 Fluoromter (Thermo Fisher Scientific). Bisulfite conversion of cfDNA was performed by using EZ-DNA-Methylation-GOLD kit (Zymo Research). After that, Accel-NGS Methy-Seq DNA library kit (Swift Bioscience) was used to prepare the sequencing libraries. The DNA libraries were then sequenced with 150bp paired-end reads.

  Dataset EGAD00001004317

• LCM-ATACseq on human lung macrophages

  In this study we employed Laser Capture Microdissection (LCM) for the multimodal profiling of lung macrophages cell populations as a function of location within the healthy tissue. In detail, macrophage mini-bulks (~100 cells) were collected from 4 healthy human donors in 5 different locations of the airways (a total of 20 biopsies), including parenchyma (L1 – lower left lobe (LLL); L6 – 80% distance from LLL tip), trachea (L2), bronchi (L3 – 1st/2nd generation; L5 – 3rd/4th generation), and processed for ATAC-seq.

  Study EGAS00001006167

• iNeuron_RNAseq

  Characterisation of a timecourse of differentiation of induced cortical excitatory neurons generated by overexpression of the Ngn2 transcription factor transgenically in BOB iPSCs. The aim is to understand the differentiation trajectory undergone in this process, and characterise the transcriptome in these cells for further disease modelling. 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/

  Study EGAS00001004238

• Exome_sequencing_of_Congenital_Heart_Disease_families_Leuven

  This project aims to study at least 90 exomes from families with congenital heart disease. The samples have been selected in Leuven in collaboration with Koen Devriendt. Ethic approval has been sought for in Leuven, Belgium and a HDMMC agreement for submitting these samples is in place at the WTSI. The phenotype we wil primarily focus our analysis is severe Left Ventricular Outflow Tract Obstructions (LVOTO) and Atrioventricular Septal Defect (AVSD). The indexed Agilent whole exome pulldown libraries will be sequenced on 75bp PE HiSeq (Illumina).

  Study EGAS00001000185

• Genomic_landscape_of_liver_cirrhosis

  We are interested in the genomic landscape of liver cirrhosis and its potential manifestations for liver physiology and risk for hepatocellular carcinoma. Previous work in CASM has shown that there is a strong element of clonality within cirrhotic nodules and that some recurring mutations have been identified. However how this relates to the overall liver is not known and therefore by taking geographically disparate biospies, we aim to correlate our findings and make conclusions as to the characteristics of the overall genomic landscape.

  Study EGAS00001004329

• ENU_LS_411N_TripleTherapy

  BRAF V600E colorectal cancers do not respond to the only currently FDA approved targeted therapy for CRC. There is currently a trial underway in the UK recruiting V600E CRC patients for treatment with a triple therapy combination of Cetuximab, Trametinib and Dabrafenib. We have mutagenized a pool of V600E CRC cell lines and treated with this triple therapy to select out drug resistant clones. We will now sequence these drug resistant clones with the aim of identifying common point mutations engendering resistance to this new therapy.

  Study EGAS00001001777

• Single-cell RNA sequencing reveals cell-type specific eQTLs in peripheral blood mononuclear cells

  This proof-of-concept study shows that single-cell RNA sequencing in ~25,000 peripheral blood mononuclear cells (PBMCs) of 45 donors allows for the identification of cell type-specific cis expression quantitative trait loci effects (cis-eQTLs). Moreover, the significant top-eQTL effects show consistent allelic direction (94%) with previously published whole blood deepSAGE data. These cell type-specific eQTLs may give us additional insight into the downstream consequences of genetic risk factors for immune-mediated diseases.

  Study EGAS00001002560

• Solve-RD Solving the Unsolved Rare Dieseases

  Solve-RD – solving the unsolved rare diseases is a research project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779257 from 1 January 2018 to 31 March 2024. Six European Reference Networks (ERNs; ERN-RND, -ITHACA, -EuroNMD, -GENTURIS, -RITA and -EpiCare) contributed data and samples to one or more of the four cohorts for data re-analysis and novel omics. For more information see https://solve-rd.eu/results/solve-rd-data/.

  Study EGAS00001003851

• Platelet response in aspirin adherent pregnant women

  We conducted an unbiased genome-wide assessment of genomic factors that may influence response to low-dose aspirin in pregnant women at high risk of pre-eclampsia in two pregnancy cohorts: Liverpool (n=91) and Dublin (n=91). We applied UK Axiom microarray technology for GWAS investigations. We specified tight phenotyping with COX-selective urinary 11-dehydrothromboxane B2 (pg/mg creatinine) and accounted for adherence/platelet exposure to aspirin by detection of aspirin’s principal urinary metabolite, SUA, with nuclear magnetic resonance (NMR).

  Study EGAS00001005188

• Acquiring and sequencing of all 24 single human chromosomes

  Haplotype phased whole genome sequencing of individuals is a technical challenge when family members are unavailable for determining chromosome of origin and variant linkage. Completely phasing genome sequences with single chromosomes has been shown to be feasible however amplifying all the single chromosomes for subsequent whole genome sequencing has been proposed but not performed to date. We acquired single chromosome of one of each of the autosomes and sex chromosomes to assess the feasibility of this sequencing library template preparation process.

  Study EGAS00001003300

• LCM-RNAseq on human lung macrophages

  In the reported study, we employed Laser Capture Microdissection (LCM) for the transcriptome profiling of lung macrophages cells populations as a function of location within the healthy tissue. In detail, macrophage mini-bulks (100 cells each) were collected by LCM from 4 healthy human donors in 5 different locations of the airways (a total of 20 biopsies), including parenchyma (L1 – lower left lobe (LLL); L6 – 80% distance from LLL tip), trachea (L2), bronchi (L3 – 1st/2nd generation; L5 – 3rd/4th generation) and processed for RNA-seq.

  Study EGAS00001006168

• Characterization of MCSP+ melanoma DCC and MelDCC lines

  To dissect the sequence of genotypic and phenotypic progression during early metastatic colonization, we searched for the earliest detectable disseminated cancer cells (DCC) and identified MCSP+ melanoma cells as strong candidates for metastasis founder cells (MFC) in lymph nodes. We isolated MCSP+ DCC from various stages of metastatic colony-formation, performed scRNA-seq and unravelled their phenotypic progression. Further we performed bulk sequencing on patient-derived DCC models (MelDCC) and showed that they exhibit an immunosuppressive activity on CD8 T cells.

  Study EGAS00001006702

• Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations

  Lynch syndrome (LS) predisposes to cancer in adulthood and is caused by heterozygous germline variants in a mismatch repair (MMR) gene. Recent studies show an increased prevalence of LS among children with cancer, suggesting a causal relationship. For LS-spectrum (LSS) cancers, including high-grade gliomas and colorectal cancer, causality has been supported by typical MMR-related tumor characteristics, but for non-LSS cancers, causality is unclear. This dataset contains 5 patients with Lynch Syndrome from the INFORM registry.

  Study EGAS00001007146

• 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

• Exome sequencing for paired tumor/normal samples from patients with corticotropin-independnet Cushing's syndrome

  Exome sequencing was performed for paired tumor/normal samples from patients with corticotropin-independnet Cushing's syndrome. Tumor DNA was extracted from adrenocortical adenomas and normal DNA was extracted from adjacent adrenal tissues or periphral blood.

  Dataset EGAD00001000715

• FMT metagenomics triads and plasma metabolomics

  These are the metagenomic datasets of 29 FMT traids with corresponding plasma metabolomics. Data for each triad consists of metagenomics for baseline, post FMT and corresponding donor. Clinical data concerning the glucose rate of disappearance and blood pressure are available as phenotypes.

  Dataset EGAD50000000599

• WGS of primary neuroblastoma data

  Study of ecDNA structure heterogeneity for 13 primary neuroblastoma patients from shallow long-read whole-genome sequencing (MinION platform, WGS mean-coverage 5-10X).

  Study EGAS50000000348

• scRNA-seq from lung cancer organoids and immune cells

  15 scRNA-seq samples were multiplexed, and 5' 10X Chromium scRNA-seq was performed. This dataset provides the FASTQ files for the multiplexed data, as well as the BAM files for the demultiplexed samples.

  Dataset EGAD50000000845

• Dataset for early breast cancer samples

  This dataset contains WGS data for 27 tumor, control and patient derived culture samples of patients with breast cancer. Sequencing was performed on Illumina NovaSeq 6000 and HiSeq X using TruSeq Nano DNA Kit. The sequencing was always paired

  Dataset EGAD50000000860

• Cancer Discovery Hub (CDH), National Cancer Center Singapore

  This is a DAC for data deposited into EGA generated by Cancer Discover Hub, NCCS. The use of datasets in this portal is solely for research and academic use only, uses other than the have to be approved by the relevant DAC members.

  Dac EGAC50000000039

• Spontaneously differentiatiated iPSCs to EBs

  SUM-seq data (single-cell chromatin accessibility and gene expression) for spontaneously differentiatiated iPSCs. This data is the representative data in the Nature Protocols publication.

  Study EGAS50000001094

• Data access committee for "Detection of brain cancer using genome-wide cell-free DNA fragmentomes"

  The data access committee for “ Detection of brain cancer using genome-wide cell-free DNA fragmentomes”. The DAC is comprised of Drs. Dimitrios Mathios, Jillian Phallen, Victor Velculescu, Robert Scharpf, Noushin Niknafs, and Shashikant Koul, and can be contacted at skoul3@jh.edu.

  Dac EGAC50000000605

• Fluctuating DNA methylation tracks cancer evolution at clinical scale

  Long-read Nanopore data of fCpGs from Gabbutt & Duran-Ferrer (2025) for developing the EVOFLUx method to study cancer evolution via DNA methylation fluctuations.

  Study EGAS50000001192

• Bulk WES Fastq Files for 103 Samples of Cornell-NCI DLBCL Genomic Project

  Paired-read fastq files were derived from standard Illumina WES NGS sequencing for 103 DLBCL biopsy samples. This is one of three datasets associated with the multi-platform NGS sequencing efforts of the Cornell-NCI DLBCL genomic study.

  Dataset EGAD50000001747

• EUROBATS RNAseq BAM files for LCLs

  These analysis are the BAM files for the LCLs samples of the EUROBATS samples.

  Dataset EGAD00001001086

• EUROBATS RNAseq BAM files for the Fat samples

  RNAseq BAM files for the Fat samples of the EUROBATS project

  Dataset EGAD00001001089

• EUROBATS RNAseq BAM files for the Blood samples

  RNAseq BAM files for the blood samples of the EUROBATS project

  Dataset EGAD00001001088

• BLUEPRINT release January 2015, DNase-Hypersensitivity for Acute myeloid leukemia

  DNase-Hypersensitivity data for 1 Acute myeloid leukemia 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 EGAD00001001190

• WGS files for Mullighan PAX5_B-ALL

  WGS files for Mullighan PAX5_B-ALL paper titled "PAX5-driven Subtypes of B-cell Acute Lymphoblastic Leukemia"

  Dataset EGAD00001004446

• EUROBATS RNAseq BAM files for the Skin samples

  RNAseq BAM files for the Skin samples of the EUROBATS project.

  Dataset EGAD00001001087

• WES files for Mullighan PAX5_B-ALL

  WES files for Mullighan PAX5_B-ALL paper titled "PAX5-driven Subtypes of B-cell Acute Lymphoblastic Leukemia"

  Dataset EGAD00001004447

• Sequencing data for ICGC Oesophageal Adenocarcinoma tissue samples - 129_rnaseq

  Sequencing data for ICGC Oesophageal Adenocarcinoma tissue samples - 129_rnaseq EAC expression data - Publication Secrier & Li et al., 2016, Nature Genetics

  Dataset EGAD00001002260

• ICGC-LIRI-JP Release 15

  RIKEN collection WGS reads for 321 HCC and blood matched samples from 158 donors submitted to ICGC for release 15

  Dataset EGAD00001000808

• Whole Exome Sequencing of healthy Spanish individuals - VCF file

  The need for a detailed catalogue of local variability for the study of rare diseases within the context of the Medical Genome Project motivated the whole exome sequencing of 267 unrelated individuals, representative of the healthy Spanish population.

  Dataset EGAD00001003101

• WGBS data for ependymomas and normal controls (fetal and adult)

  Whole genome bisulfite sequencing data for 6 ependymomas plus 3 fetal controls (f1, f2, f4) and 3 adult controls (a2, a3, a4). See Mack, Witt et al. Nature 506(7489):445-50, 2014 (PMID: 24553142).

  Dataset EGAD00001000966

• Cancer-Normal chronic myeloid leukaemia sequencing data for "A comparative analysis of algorithms for somatic SNV detection in cancer", Bioinformatics 29 (2013) 2223

  This dataset contains the fastq sequencing data collected from bone marrow DNA of a chronic myeloid leukaemia patient at time of diagnosis.

  Dataset EGAD00001000967

• APCDR Uganda GWAS - UG2G dataset: Whole genome low depth sequence data for 2000 Ugandans (BAMs).

  Low depth (4x) Illumina HiSeq raw sequence data for 2000 Ugandans from various ethno-linguistic group from rural South-West Uganda (related individuals included).

  Dataset EGAD00001001639

• TraIT Cell Line use case

  Experimental data collected from a set of cell lines. To be used as a test for pipelines and infrastructure.

  Study EGAS00001001476

• Whole_genome_sequencing_of_in_vitro_colonies

  In this study we will perform whole genome sequencing on in vitro colonies. Colonies of various sizes (100-300 cells) will be collected for somatic mutation analysis.

  Study EGAS00001003112

• Res1_HT29_exp2_MC_03_03_22

  1 sample is pure plasmid DNA and 10 samples are cell pellets for genomic DNA extraction. CRISPR PCR1 and PCR2 indexing - Please use standard Kozuke primers.

  Study EGAS00001006093

• Res1_H23_exp1_MC_04_03_22

  1 sample is pure plasmid DNA and 8 samples are cell pellets for genomic DNA extraction. CRISPR PCR1 and PCR2 indexing - Please use standard Kozuke primers.

  Study EGAS00001006091

• Res1_HT29_exp1_MC_02_03_22

  1 sample is pure plasmid DNA and 10 samples are cell pellets for genomic DNA extraction. CRISPR PCR1 and PCR2 indexing - Please use standard Kozuke primers.

  Study EGAS00001006092

• Prognostic markers of DNA methylation and NGS sequencing in progressive glioblastoma from the EORTC-26101 trial

  These dataset contains NGS data from 380 samples from the EORTC-26101 clinical trial for patients with progressive glioblastoma.

  Study EGAS00001007421

• High-throughput sequencing data for study of molecular drivers of resistance to castration in localised prostate cancer

  Aligned whole-genome sequencing and RNA-seq of localised prostate cancer for study 'Loss of SNAI2 in prostate cancer correlates with clinical response to androgen deprivation therapy'.

  Dataset EGAD00001006640

• Chromatin Profiling in Twins (2019-08-21)

  50 lymphoblastoid cell lines of adult female Twins which are part of the MuTHER study, subjected to Chromatin Immunoprecipitation using an antibody for H3K4me1. H3K4me1 peaks mark distal regulatory elements. . This dataset contains all the data available for this study on 2019-08-21.

  Dataset EGAD00001005274

• Single Cell Genome Sequence for DLP+ library A95618B

  Single Cell Genome Sequence for Triple negative breast cancer patient-derived xenograft SA609 passage 3 on DLP+ library A95618B

  Dataset EGAD00001009316

• A95700A

  Whole genome sequencing for single cells for library A95700A 1172 cells; filetype=bam

  Dataset EGAD00001007611

• A96226B

  Whole genome sequencing for single cells for library A96226B 1274 cells; filetype=bam

  Dataset EGAD00001007621

• A98304A

  Whole genome sequencing for single cells for library A98304A 1560 cells; filetype=bam

  Dataset EGAD00001007636

• COVID-19 scRNA-seq, TCR-seq and BCR-seq

  COVID-19 scRNA-seq, TCR-seq and BCR-seq for 291 samples collected from 109 patients. Among 291 samples, 249 of them have two libraries (sequencing runs) for each assay, while 42 have only one library.

  Dataset EGAD00001007995

• BLUEPRINT September 2016, ATAC-seq for tonsil, on Genome GRCh38

  ATAC-seq data for 7 sample(s) from tonsil, on Genome GRCh38. 7 run(s), 7 experiment(s), 7 alignment(s). Part of BLUEPRINT (September 2016).

  Dataset EGAD00001002708

• A96181C

  Whole genome sequencing for single cells for library A96181C 1216 cells; filetype=bam

  Dataset EGAD00001007117

• A96240A

  Whole genome sequencing for single cells for library A96240A 1493 cells; filetype=bam

  Dataset EGAD00001007121

• A95731B

  Whole genome sequencing for single cells for library A95731B 1307 cells; filetype=bam

  Dataset EGAD00001007110

• A95663B

  Whole genome sequencing for single cells for library A95663B 1364 cells; filetype=bam

  Dataset EGAD00001007108

• A110632A

  Whole genome sequencing for single cells for library A110632A 1151 cells; filetype=bam

  Dataset EGAD00001007094

• Single Cell Genome Sequence for DLP+ library A96192A

  Single Cell Genome Sequence for high grade serous ovarian carcinoma patient-derived xenograft SA1093C passage 1, patient SA1147 on DLP+ library A96192A

  Dataset EGAD00001009467

• CBD-RAW-REPERTOIRE-T: T cell bulk repertoire sequence files

  fastq and filtered fasta files for T-cell receptor sequencing. For further information regarding this dataset, please contact Rachael Bashford-Rogers at contact@combat.ox.ac.uk.

  Dataset EGAD00001007961

• A95634B

  Whole genome sequencing for single cells for library A95634B 1335 cells; filetype=bam

  Dataset EGAD00001007105

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

  Data supporting: "Mutational signature dynamics shaping the evolution of oesophageal adenocarcinoma" Abbas et al (RNA for 197 samples)

  Dataset EGAD00001011269

• A96115A

  Whole genome sequencing for single cells for library A96115A 1635 cells; filetype=bam

  Dataset EGAD00001007111

• Single Cell Genome Sequence for DLP+ library A95632A

  Single Cell Genome Sequence for immortalized breast epithelium - BRCA1-/- Tp53-/- cell line 184-hTERT-22 L9 83.86 on DLP+ library A95632A

  Dataset EGAD00001009321

• Single Cell Genome Sequence for DLP+ library A95634A

  Single Cell Genome Sequence for high grade serous ovarian carcinoma patient-derived xenograft SA1091A passage 1 on DLP+ library A95634A

  Dataset EGAD00001009323

• Data files for PCGP SJACT WES

  This dataset contains WES files for the SJACT cohort associated with the paper "Genetic landscape of pediatric Adrenocortical Tumor". In this paper, we analyse 37 adrenocortical tumours (ACTs) by whole-genome, whole-exome and/or transcriptome sequencing.

  Dataset EGAD00001002679

• WGS and WES data for manuscript titled: ctDNA as a biomarker of progression in oesophageal adenocarcinoma

  WGS and WES data for manuscript titled: ctDNA as a biomarker of progression in oesophageal adenocarcinoma

  Dataset EGAD00001008554

• Single Cell Genome Sequence for DLP+ library A96173A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA501 passage 15 on DLP+ library A96173A

  Dataset EGAD00001009459

• Single Cell Genome Sequence for DLP+ library A96177C

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA604 passage 6 on DLP+ library A96177C

  Dataset EGAD00001009462

• Single Cell Genome Sequence for DLP+ library A108765A

  Single Cell Genome Sequence for high grade serous ovarian carcinoma patient-derived xenograft SA1181A passage 1 on DLP library A108765A

  Dataset EGAD00001009428

• Single Cell Genome Sequence for DLP+ library A95621B

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA501 passage 2 on DLP+ library A95621B

  Dataset EGAD00001009487

• Single Cell Genome Sequence for DLP+ library A95635A

  Single Cell Genome Sequence for immortalized breast epithelium - BRCA2-/-; Tp53-/- cell line 184-hTERT-22 L9 116.126 on DLP+ library A95635A

  Dataset EGAD00001009324

• Single Cell Genome Sequence for DLP+ library A95650A

  Single Cell Genome Sequence for high grade serous ovarian carcinoma patient-derived xenograft SA1052J passage 1 on DLP+ library A95650A

  Dataset EGAD00001009325

• A96124B

  Whole genome sequencing for single cells for library A96124B 1241 cells; filetype=bam

  Dataset EGAD00001007616

• A96162A

  Whole genome sequencing for single cells for library A96162A 1505 cells; filetype=bam

  Dataset EGAD00001007618

• A98234B

  Whole genome sequencing for single cells for library A98234B 1600 cells; filetype=bam

  Dataset EGAD00001007627

• A98255B

  Whole genome sequencing for single cells for library A98255B 1394 cells; filetype=bam

  Dataset EGAD00001007632

• A108870A

  Whole genome sequencing for single cells for library A108870A 1795 cells; filetype=bam

  Dataset EGAD00001007598

• Single Cell Genome Sequence for DLP+ library A96142B

  Single Cell Genome Sequence for high grade serous ovarian carcinoma patient SA1162SA on DLP+ library A96142B

  Dataset EGAD00001009455

• Single Cell Genome Sequence for DLP+ library A95621A

  Single Cell Genome Sequence for Immortalized breast epithelium - BRCA2-/-; Tp53-/- cell line 184-hTERT-22 L9 112.109 cell line SA1055 on DLP+ library A95621A

  Dataset EGAD00001009488

• Combination Therapies for Personalised Cancer Medicine in 11-18 (2019-06-10)

  This study involves mutagenizing 11-18 with ENU to identify those mutations which engender resistance to targeted treatment. . This dataset contains all the data available for this study on 2019-06-10.

  Dataset EGAD00001005081

• A96149A

  Whole genome sequencing for single cells for library A96149A 751 samples; filetype=bam

  Dataset EGAD00001008234