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• Illumina RNA-Seq paired of 10 different tumor samples from the Master program (H021)

  Fastq files of paired RNA-Seq of 10 different tumor samples, for which Nanopore and Illumina sequencing was compared. Illumina sequencing was carried out with HiSeq4000 or HiSeq X-Ten using the Illumina TruSeq stranded mRNA Kit.

  Dataset EGAD00001008971

• WES data of central nervous system neoplasm patients

  Dataset containing 2068 WES tumor and control samples of central nervous system neoplasm patients. The data was sequenced on a Illumina NextSeq 500 using a NPHD2015A kit. The sequencing was always paired.

  Dataset EGAD00001009855

• Exome sequencing data from two small cell prostate cancer patients

  Exome sequencing data from two small cell prostate cancer patients - 4 cancer samples (FFPE) from Patient 1 collected at 3 different time points and 2 cancer samples (FFPE) from Patient 2 collected at 1 time point. Exonic DNA was enriched using the TruSeq Exome Kit (Illumina) and sequenced on the Illumina NextSeq 500 as 75bp paired end reads (total read length 150bp).

  Dataset EGAD00001011149

• MSC_busulfan_small_intestine_organoids

  This dataset represent the RNA-seq, which was done on untreated small intestinal organoids; small intestinal organoids treated with chemotherapeutic, busulfan; untreated small intestinal organoids co-cultured wth mesenchymak stromal/stem cells (MSCs; busulfan treated small intestinal organoids co-cultured with MSCs. The same set of samples was done for 3 different primary bone marrow MSC donors.

  Dataset EGAD00001011176

• Dataset for transcriptome and whole genome bisulfite sequencing of glioblastoma(GBM) tumor cells

  This dataset contains transcriptome and whole genome bisulfite sequencing for 40 samples with glioblastoma(GBM). The sequencing was performed on Illumina NextSeq 2000 and Illumina NextSeq 550, . The sequencing was always paired.

  Dataset EGAD00001015614

• DAC - The Netherlands Cancer Institute - Antoni van Leeuwenhoek

  Dac EGAC00001003316

• THE NOWAC BLOOD-BREAST CANCER COMMITEE DATA ACCESS AGREEMENT

  Dac EGAC00001000743

• The admixture histories of Cabo Verde

  Dac EGAC00001002727

• UK Biobank Access - http://www.ukbiobank.ac.uk/using-the-resource/

  Dac EGAC00001000641

• Data Access Committee for the Medulloblastoma Host Genome Study

  Dac EGAC00001000910

• The data usage policy for epigenomic profile of diverse cancer

  Dac EGAC00001001540

• Cell types of the human retina and its organoids DAC

  Dac EGAC00001001703

• DAC for de-methylation of the FOXP3-TSDR study

  Dac EGAC00001001902

• TNBC (COH_TNBC_RNAseq) - Data Access Committee at The Jackson laboratory

  Dac EGAC00001002518

• TNBC (UW_OvCa_RNASeq) - Data Access Committee at The Jackson laboratory

  Dac EGAC00001002524

• TNBC (UW_OvCa_WGS) - Data Access Committee at The Jackson laboratory

  Dac EGAC00001002544

• Director of the Institute of Reproductive Genetics, Münster, Germany

  Dac EGAC00001002589

• TNBC (COH_WGS) - Data Access Committee at The Jackson laboratory

  Dac EGAC00001002574

• AmsterdamUMC Data Access Committee for the EPIC-CD study

  Dac EGAC00001003480

• Data access commitee at the Molecular Exercise Physiology group

  Dac EGAC00001002606

• The EMC-HEMA-SCN DAC for severe congenital neutropenia data

  Dac EGAC00001003590

• The Genomic Landscape of Prostate Cancer Brain Metastases

  Study EGAS00001004557

• OV04 chemo prediction

  Predicting resistance to chemotherapy using chromosomal instability signatures Joe Sneath Thompson1,2,*, Laura Madrid2,*, Barbara Hernando1,*, Carolin M. Sauer3, Maria Vias3, Maria Escobar-Rey1,2, Wing-Kit Leung2,3, Diego Garcia-Lopez2, Jamie Huckstep3, Magdalena Sekowska3, Karen Hosking4,5, Mercedes Jimenez-Linan5,6, Marika A. V. Reinius3,5,6, Abhipsa Roy2, Omar Abdulle2, Justina Pangonyte3, Harry Dobson2, Amy Cullen2,3, Dilrini De Silva2, David Gómez-Sánchez1,7, Marina Torres1, Ángel Fernández-Sanromán1, Deborah Sanders3, Filipe Correia Martins3,5,6, Ionut-Gabriel Funingana3,4,5, Giovanni Codacci-Pisanelli3,4,8, Miguel Quintela-Fandino1, Florian Markowetz2,3,4, Jason Yip2, James D. Brenton2,3,4,5,6, Anna M. Piskorz#,2,3, Geoff Macintyre#,1,2 1 Spanish National Cancer Research Centre (CNIO), Madrid, Spain 2 Tailor Bio Ltd, Cambridge, UK 3 Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK 4 Department of Oncology, University of Cambridge, Cambridge, UK 5 Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK 6 Cancer Research UK Major Centre - Cambridge, University of Cambridge, Cambridge, UK 7 H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12), Madrid, Spain 8 University of Rome "la Sapienza", Rome, Italy

  Dac EGAC50000000612

• The PEACE (Posthumous Evaluation of Advanced Cancer Environment) Study DAC

  Dac EGAC00001003055

• DAC for the MDC-LSR-SAHLSIS ischemic stroke study

  Dac EGAC00001000226

• Data access committee for the head and neck project

  Dac EGAC00001000374

• The NOWAC blood-breast cancer commitee data access agreement

  Dac EGAC00001000684

• DAC for the Singapore Integrating Omics Study

  Dac EGAC00001000685

• Ludwig Data Access Committee for the Study of Oesophageal Cancer

  Dac EGAC00001000978

• the Yemeni-Somali 5 million SNP array dataset

  Dac EGAC00001001112

• DAC for the study EGAS00001005773

  Dac EGAC00001002411

• TNBC (PDX-WGS) - Data Access Committee at The Jackson laboratory

  Dac EGAC00001002515

• Study of the microenvironment of angioimmunoblastic T-cell lymphoma

  Dac EGAC00001002756

• The Leeds Melanoma Cohort gene expression data access committee

  Dac EGAC00001000893

• Unraveling the genetics of transformed splenic marginal zone lymphoma

  Study EGAS00001006389

• Archaeogenomic distinctiveness of the Isthmo-Colombian area

  Study EGAS00001007131

• The Extracellular RNA Quality Control (exRNAQC) study (phase 1)

  Study EGAS00001005263

• The Xq22.3 contiguous gene deletion syndrome (ATS-ID)

  Study EGAS00001005354

• The Extracellular RNA Quality Control (exRNAQC) study (phase 2)

  Study EGAS00001006499

• Whole Genome Sequencing and Variant Calling for Autism Families

  We extracted DNA from whole blood or lymphoblast-derived cell lines and assessed the DNA quality with PicoGreenTM and gel electrophoresis. Whole genome sequencing was performed (Illumina HiSeq2000 and Illumina HiSeq X). WGS reads were mapped to the human reference genome assembly hg19 (GRCh37) using Burrows-Wheeler Aligner v.0.7.12 (TCAG) or Isaac v.2.0.13 (Macrogen). For each genome, we performed local realignment and quality recalibration and detected SNVs and small indels using GATK Haplotype Caller v.3.4.6 without genotype refinement. We detected CNVs using ERDS (estimation by read depth with single nucleotide variants) and CNVnator. We detected structural variants using Manta v.0.29.6. When available by the variant caller (i.e. GATK and Manta), trio-based joint variant calling was conducted for each family.

  Dataset EGAD00001008452

• Whole exome sequencing of FFPE material from 41 pediatric BCP-LBL patients.

  This study contain the results of whole exome sequencing analyses of FFPE material from 41 pediatric B-cell precursor lymphoblastic lymphoma patients. Samples were sequenced with a target coverage of 200x. Data are provided as Fastq files.

  Study EGAS50000000290

• scD&D Multiome of GATA1 regulatory network dynamics during erythropoiesis

  Ex vivo differentiation experiments of human CD34+ hematopoietic stem and progenitor cells and profiled cells along the erythropoietic trajectory at multiple timepoints (differentiation days 0, 5, 8, 18, and 24), for simultaneous assessment of transcriptome, chromatin accessibility and GATA1 binding

  Study EGAS50000001606

• snRNA-seq

  This dataset contains raw sequencing and processed data of single nuclei transcriptomes. The data were generated with 10x Chromium probe-based single-nucleus assay on FFPE tissues of 63 ST-EPN tumour resections. Raw data contain BAM (and BAM.BAI) files of the sequencing. Processed data contain aligned .h5 counts matrices as generated by 10x CellRanger for raw and filtered running options.

  Dataset EGAD50000001875

• 10X snMultiome (ATAC+GEX) for the study of "SPEN loss drives extra-follicular diffuse large B cell lymphoma with female-specific lethality and TLR pathway therapeutic vulnerabilities"

  10X snMultiome (ATAC+GEX) sequencing of 1 human reactive tonsil sample and 1 DLBCL sample for the study of "SPEN loss drives extra-follicular diffuse large B cell lymphoma with female-specific lethality and TLR pathway therapeutic vulnerabilities"

  Dataset EGAD50000002277

• Smart-seq2 analysis of 11 ETMR patient samples (4,031 high-quality single cells/nuclei).

  We analyzed 11 ETMR patient samples using single-cell transcriptomics (6 from fresh and 5 from frozen material). Samples were profilied by paired-end scRNA-sequencing using the Smart-Seq2 protocol on a NextSeq 500 sequencer (Illumina). The dataset contains 8,062 fastq files of 4,031 high-quality single cells/nuclei. Raw fastq files of high-quality cells are shared.

  Dataset EGAD50000001379

• Single-cell Transcriptome Analysis of Plasma Cells Across the Disease Spectrum of Multiple Myeloma

  This dataset includes FastQ files of single-cell RNA sequencing data of 5' GEX and VDJ libraries from CD138+ plasma cells enriched from 72 bone marrow aspirates from patients diagnosed with a monoclonal gammopathy from the multiple myeloma spectrum, including MGUS (n=13), SMM (n = 22), NDMM (n = 17), RRMM (n = 15) and PCL (n = 2); and 3 controls.

  Dataset EGAD50000001179

• Enzymatic methylation sequencing of cell-free pediatric brain tumor DNA from cerebrospinal fluid

  Enzymatic methylation sequencing data generated from cell-free tumor DNA extracted from cerebrospinal fluid (CSF). CSF was gathered from pediatric brain tumor patients of varying diagnoses treated at Connecticut Children's Medical Center, or from the Children's Brain Tumor Network. After DNA extraction, libraries were prepped using the Enzymatic Methyl-seq V2 kit (New England Biolabs).

  Dataset EGAD50000001268

• WGS of thymic epithelial tumors and paired normal

  Among the 20 newly sequenced cases, we conducted additional whole-genome sequencing (WGS) on five out of eight CN-type thymomas, excluding three with low tumor cell fractions (< 0.1). Libraries for WGS were prepared using the TrueSeq DNA PCR-free Prep Kit following standard Illumina protocols.

  Dataset EGAD50000001160

• Dataset for WGS and RNA samples of acute myeloid leukemia with MNX1 expression (non-hipo)

  This dataset contains 115 samples of WGS, ATAC, 4C and RNAseq samples of patients with acute myeloid leukemia. The sequencing was performed on Illumina HiSeq 4000, 2000 and HiSeq X using Illumina TruSeq Nano DNA and Agilent Strand Specific RNA Kits. The sequencing was always paired.

  Dataset EGAD50000001097

• Prospective cohort patients with Multiple sclerosis and controls

  The sys4MS cohort comprises 350 patients with Multiple Sclerosis (MS) and 9 controls, with 2 years of follow-up. Baseline data includes demographics, clinical scales, disease duration and subtype and use of disease-modifying drugs, brain MRI (volumetry and lesion load), retinal thickness by OCT, genomics (GWAS), cytomics, and phosphoproteomics. Data at the end of follow-up includes clinical scales, brain MRI and OCT.

  Dataset EGAD00010002505