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• EED inhibition of organoid development

  Transcriptomics and epigenomics after chemical inhibition of EED during early human brain organoid development. To investigate the role of H3K27me3 inhibition during neuroectoderm induction, we treated brain organoids with 3 concentrations of EED inhibitor (and control) during the transition of pluripotency to neuroepithelium. At the neuroepithelium stage, we profiled the organoids using scRNA-seq (transcriptome) and bulk Cut&Tag (H3K27me3, H3K27ac). Library preparation for scRNA-seq was carried out with the 10x genomics platform.

  Dataset EGAD50000000224

• Profiling of gene expression and epigenomics in the fetal brain

  scRNA-seq and Cut&Tag from a sample of the human fetal brain. To compare neurogenesis in the primary human brain with that in organoids, we profiled transcriptome and chromatin accessibility (10X multiome) as well as bulk Cut&Tag of histone modifications H3K27me3, H3K27ac and H3K4me3. We used a human brain sample from GW 19 for all experiments.

  Dataset EGAD50000000225

• Dataset for Fragle Software Development and Evaluation

  Fragle is a deep learning based two stage model that quantifies ctDNA from blood plasma derived cfDNA bam files. Fragle was developed using some previously published datasets and some newly generated data. Fragle was evaluated using some validation cohorts and some unseen cohorts. Some of these cohorts are newly created consisting of total 365 low pass (2-3X) whole genome sequencing bam files mapped to hg19/GRCh37. This dataset contains these newly generated bam files.

  Dataset EGAD50000000167

• bfast CohortD clinical data

  Clinical data for BFAST Cohort D, including time-to-event, tumor response, and baseline prognostics data.

  Dataset EGAD50000000149

• bfast CohortD OSPL

  ctDNA sample data (one sample per line) for BFAST Cohort D including sample-level summaries like tumor fraction (cTF).

  Dataset EGAD50000000147

• PBMC all cell metadata

  Cell annotation for single cells of PBMC collected from 113 patients, including UMAP coordinates and annotation.

  Dataset EGAD50000000145

• CD8 T cell PBMC metadata

  Cell annotation for single CD8 T cells of PBMC collected from 113 patients, including UMAP coordinates and annotation

  Dataset EGAD50000000144

• Clinical data IMvigor130 cohort

  Clinical data for IMvigor130 cohort of patients, including treatment, response, survial time, and tumor PDL1-IC staining score.

  Dataset EGAD50000000143

• Expression array

  The whole study comprises of two patient cohorts. Screening cohort: 40 patients of Germany; validation cohort: 40 patients from Asia. Further, bile duct and CCA cell lines have been analyzed.
This dataset contains expression array data for 32 patients of the screening cohort with 8 of them having paired normal tissue plus an additional relapse tumor/normal pair of one of those 8 patients and a patient only with normal tissue. Data was generated on a HumanHT-12 v4 Bead Array (Illumina) and is stored in IDAT file format.

  Dataset EGAD00010002596

• imputed_bacterial_meningitis

  This study includes 1146 samples of host genotyping data (imputed) from Illumina Omni arrays, using https://imputation.sanger.ac.uk/ with the Haplotype Reference Consortium v1.1. Samples were collected from adults (>16 yrs) patients with CSF confirmed bacterial meningitis in the Netherlands between 2006 and 2015. Metadata includes patient outcome, species of bacteria, and for 467 samples a link to an ENA run with the associated bacterial genome (S. pneumoniae only).

  Dataset EGAD00010002327

• Sequencing data for oesophageal and related samples - OACs release 6 (RNA)

  Dataset EGAD00001005375

• Sequencing data for oesophageal and related samples - Normals release 3 (RNA)

  Dataset EGAD00001003902

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

  Dataset EGAD00001002258

• Mutational processes moulding the genomes of 21 breast cancers

  The expression data for this study can be found here: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1088/and its SNP6 data can be found here:http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1087/

  Dataset EGAD00001000138

• Evaluation of size selection on cancer specific sequencing libraries

  A couple of previously characterized and sequenced libraries will be repeated using a couple of differing size selection criteria and skim sequenced using an Illumina HiSeq. The resulting sequence will be analyzed to determine the optimal DNA library size for our specific downstream analysis.

  Dataset EGAD00001000301

• RNA sequencing data of pediatric KMT2A-rearranged acute lymphoblastic leukemia (set 1)

  The dataset includes RNA sequencing FASTQ files from diagnostic tumor samples of two KMT2A-r ALL patients (ALLT-325, ALLT-346). NEBNext Ultra Directional RNA Library Prep Kit (New England Biolabs) was used in library preparation, and Globin-Zero Gold rRNA Removal Kit (Illumina) was utilized for rRNA removal. The diagnostic tumor samples were sequenced using Illumina Novaseq 6000, and the target sequencing depth was 21 Gb per sample.

  Dataset EGAD50000002582

• RNA sequencing data of pediatric hyperdiploid acute lymphoblastic leukemia (set 3)

  The dataset includes RNA sequencing FASTQ files from diagnostic tumor samples of five hyperdiploid ALL patients (ALLT-364, ALLT-367, ALLT-368, ALLT-371, ALLT-377). NEBNext Ultra Directional RNA Library Prep Kit (New England Biolabs) was used in library preparation, and TruSeq Stranded Total RNA Library Prep (Illumina) kit was utilized for rRNA removal. The diagnostic tumor samples were sequenced using Illumina Novaseq 6000, and the target sequencing depth was 21 Gb per sample.

  Dataset EGAD50000002594

• RNA sequencing data of pediatric hyperdiploid acute lymphoblastic leukemia

  The dataset includes RNA sequencing FASTQ files from diagnostic tumor samples of four hyperdiploid ALL patients (ALLT-315, ALLT-320, ALLT-329, ALLT-347). NEBNext Ultra Directional RNA Library Prep Kit (New England Biolabs) was used in library preparation, and Globin-Zero Gold rRNA Removal Kit (Illumina) was utilized for rRNA removal. The diagnostic tumor samples were sequenced using Illumina Novaseq 6000, and the target sequencing depth was 21 Gb per sample.

  Dataset EGAD50000002595

• BLUEPRINT September 2016, RNA-Seq Acute Lymphocytic Leukemia from bone marrow, on Genome GRCh38

  RNA-Seq data for 1 sample(s) Acute Lymphocytic Leukemia from bone marrow, on Genome GRCh38. 1 run(s), 1 experiment(s), 0 alignment(s). Part of BLUEPRINT (September 2016).Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_rnaseq_analysis_crg_20140811

  Dataset EGAD00001002954

• BLUEPRINT September 2016, RNA-Seq Acute Myeloid Leukemia from venous blood, on Genome GRCh38

  RNA-Seq data for 1 sample(s) Acute Myeloid Leukemia from venous blood, on Genome GRCh38. 1 run(s), 1 experiment(s), 0 alignment(s). Part of BLUEPRINT (September 2016).Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_rnaseq_analysis_crg_20140811

  Dataset EGAD00001002958

• BLUEPRINT September 2016, ChIPmentation T-cell Acute Lymphocytic Leukemia from capillary blood, on Genome GRCh38

  ChIPmentation data for 2 sample(s) T-cell Acute Lymphocytic Leukemia from capillary blood, on Genome GRCh38. 2 run(s), 2 experiment(s), 2 alignment(s). Part of BLUEPRINT (September 2016).

  Dataset EGAD00001002938

• Clonal expansion of mutated cell population in bladder urothelium

  1cm biospies of from patients undergoing bladder cystectomy will be collected. The underlying muscle and stroma will be removed and the remaining epithelia dissected into small sequential areas which will be sent for ultra-deep exome sequencing using a panel of known cancer and viral genes. Sequence analysis using similar methods to Martincorena I et al (Science 2015, 348:880) will provide an idea of the somatic mutational landscape in these patient samples. Individual patient muscle samples will also be sequenced as a reference.

  Dataset EGAD00001003250

• WGS data for medulloblastoma samples (ICGC)

  WGS data of medulloblastoma tumor/control pairs.

  Dataset EGAD00001003127

• The spatial organization of intratumor heterogeneity and evolutionary trajectories of metastasis in hepatocellular carcinoma

  A dataset consisting of Multi-regional Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS) data for 54 samples from 9 patients with hepatocellular carcinoma. The dataset includes 45 tumor samples and 9 normal blood samples. Selected somatic variants were validated by Sequenom. Patients covered are: Patient 1, Patient 2, Patient 3, Patient 4, Patient 5, Patient 6, Patient 7, Patient 8, Patient 9 and Patient 10.

  Dataset EGAD00001003138

• RNAseq - Colorectal organoids and tumoroids (2017-05-04)

  Transcriptome sequencing of tumour tissue, adjacent normal tissue and derived organoids/tumoroids from colorectal cancer This dataset contains all the data available for this study on 2017-05-04.

  Dataset EGAD00001003320