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• The evolution of hematopoietic cells under cancer therapy

  WGS TAML samples with their remission controls obtained from bone marrow.

  Dataset EGAD00001007706

• The natural history of clonal haematopoiesis: colony WGS

  Whole-genome sequencing of 288 single-cell-derived blood colonies from 3 elderly individuals with clonal haematopoiesis.

  Dataset EGAD00001007684

• iAMP21 RNAseq data set

  RNAseq samples from the iAMP21 study

  Dataset EGAD00001007577

• V(D)J and 5' Gene Expression data on patients with aplastic anemia

  Chromium V(D)J and 5' Gene Expression platform (10X Genomics) was used to study patients with aplastic anemia. CD45+ cells from two patients (patient AA-3: 3 longitudinal samples from bone marrow and patient AA-4: 3 longitudinal samples from peripheral blood) were analysed. The raw data was processed using Cell Ranger 3.0.1 pipelines.

  Dataset EGAD00001006937

• Skeletal muscle transcriptomic comparison between long-term trained and untrained men and women

  We generated global skeletal muscle transcriptomic data from long-term endurance (9 men, 9 women) and strength (7 men) trained individuals. These data were compared with healthy age-matched untrained controls (7 men, 8 women). All 40 samples were then multiplexed in 1 lane and sequenced (2x50bp paired end) on the Illumina NovaSeq 6000.

  Dataset EGAD00001006067

• Next Generation Sequencing Characterization of Tregs in Human Peripheral Blood during Autoimmunity

  Tregs were sorted as CD4+CD25+CD127- cells from peripheral blood of 14 healthy individuals, 8 patients with systemic lupus erythematosus, 9 patients with rheumatoid arthritis, and 11 patients with multiple sclerosis. RNA was extracted and polyA libraries were prepared using the Illumina Truseq sample preparation kit v.2. Single-end sequencing was performed on NextSeq500.

  Dataset EGAD00001006193

• Whole Exome Sequencing of Spanish Patients diagnosed with rare ophtalmogenetic disorders.

  Whole Exome sequencing of a set of Spanish patients suffering rare genetic diseases. The set consists of 4 patients, one was diagnosed with Retinitis Pigmentosa (RP-1629), another one was diagnosed with Macular Dystrophy (MD-0235) and two were diagnosed with Leber's Congenital Amaurosis (LCA-0081 and LCA-0103).

  Dataset EGAD00001005746

• Hepatitis B Viral sequence reads

  Deep sequencing of viral samples (average ~9,000x coverage) from patients chronically infected with Hepatitis B (HBV). Whole HBV genome sequencing of 1467 patients (1102 in discovery and 365 in validation cohort) chronically infected with HBV at baseline. The patient population contained HBV genotypes A (98), B (285), C (716), D (356), E (7), and F (5) with 977 HBeAg-positive and 490 HBeAg-negative patients.

  Dataset EGAD00001005075

• single-cell transcriptomics data from immune cells

  Smart-seq2 protocol was used to perform single cell RNA-sequencing on 465 immune cells. The immune cells analysed include 215 HLA-DQ2: gluten-(DQ2.5-glia-α1, -α2, -ω1, and -ω2) tetramer-sorted T cells, 247 transglutaminase 2 (TG2)-positive plasma cells from intestinal biopsy or peripheral blood from celiac disease patients, and 3 unassigned cells in 3 batches.

  Dataset EGAD00001004081

• APCDR AGV Project: Low coverage (4x-8x) sequence data from 3 African populations (VCFs)

  Low coverage (4x-8x) Illumina HiSeq curated sequence data from 3 African populations from the AGV project; 100 Baganda from Uganda (4x), 100 Zulu from South Africa (4x), and 120 Gumuz, Wolayta, Oromo, Somali and Amhara from Ethiopia (8x). Pre-processed, jointly called and filtered with GATK, refined with Beagle3, phased with SHAPEIT2.

  Dataset EGAD00001001663

• DKFZ-HIPO Data Access Committee of Heidelberg Center for Personalized Oncology

  Dac EGAC00001000452

• Transcriptome analysis for intrahepatic cholangiocarcinoma

  Intrahepatic cholangiocarcinomas (iCCs) are characterized by their rarity, difficulty in diagnosis, and overall poor prognosis. We performed comprehensive transcriptomic characterization of treatment-naive iCC. Whole transcriptome analyses identified two prognostic subtypes, concordant with previous reports.The findings could assist in patient stratification with iCCs and in developing rational therapeutic strategies.

  Dataset EGAD00001008544

• ICGC PCAWG Dataset: LAML-KR_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: LAML-KR.

  Dataset EGAD00001002119

• ICGC PCAWG Dataset: BTCA-SG_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: BTCA-SG.

  Dataset EGAD00001002121

• ICGC PCAWG Dataset: BRCA-UK_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: BRCA-UK.

  Dataset EGAD00001002122

• ICGC PCAWG Dataset: MALY-DE_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: MALY-DE.

  Dataset EGAD00001002123

• ICGC PCAWG Dataset: EOPC-DE_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: EOPC-DE.

  Dataset EGAD00001002124

• ICGC PCAWG Dataset: BOCA-UK_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: BOCA-UK.

  Dataset EGAD00001002125

• ICGC PCAWG Dataset: PRAD-UK_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: PRAD-UK.

  Dataset EGAD00001002126

• ICGC PCAWG Dataset: PBCA-DE_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: PBCA-DE.

  Dataset EGAD00001002127

• ICGC PCAWG Dataset: PRAD-CA_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: PRAD-CA.

  Dataset EGAD00001002128

• ICGC PCAWG Dataset: BRCA-EU_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: BRCA-EU.

  Dataset EGAD00001002129

• ICGC PCAWG Dataset: CLLE-ES_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: CLLE-ES.

  Dataset EGAD00001002130

• ICGC PCAWG Dataset: RECA-EU_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: RECA-EU.

  Dataset EGAD00001002131

• ICGC PCAWG Dataset: PACA-AU_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: PACA-AU.

  Dataset EGAD00001002132

• ICGC PCAWG Dataset: PAEN-AU_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: PAEN-AU.

  Dataset EGAD00001002154

• ICGC PCAWG Dataset: PAEN-IT_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: PAEN-IT.

  Dataset EGAD00001002153

• ICGC PCAWG Dataset: LIRI-JP_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: LIRI-JP.

  Dataset EGAD00001002155

• ICGC PCAWG Dataset: ESAD-UK_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: ESAD-UK.

  Dataset EGAD00001002156

• ICGC PCAWG Dataset: MELA-AU_PCAWG_WGS_BWA

  ICGC PCAWG Dataset for WGS BAM aligned using BWA MEM. Project: MELA-AU.

  Dataset EGAD00001002157

• Clonal fitness inferred from timeseries modeling of single cell cancer genomes

  Progress in defining genomic fitness landscapes in cancer by copy number alterations (CNA) has been impeded by lack of single cell and timeseries sampling. We generated 42,000 single cell whole genomes (scWGS) from breast epithelium and primary triple negative breast cancer (TNBC) patient-derived xenografts (PDX) collected during multi-year time series. Using a Wright-Fisher population genetics model, we inferred reproducible CNA-defined clonal fitness dynamics induced by TP53 mutation and cisplatin chemotherapy, with accurate forecasting of experimentally enforced clonal competition dynamics. Drug treatment in three long-term serially passaged TNBC PDX resulted in cisplatin resistant clones that had shown low fitness in the untreated setting. By contrast high fitness clones from treatment naive controls were eradicated reflecting an inversion of the fitness landscape. Upon drug release selective pressure dynamics were reversed indicating a fitness cost of treatment resistance. Taken together, our findings reveal clonal fitness dynamics linked to CNA and therapeutic resistance in polyclonal tumours.

  Study EGAS00001004448

• Single-cell profiling maps the spectrum of crosstalk between glioma cells and tumor associated macrophages

  Tumor associated macrophages (TAMs) are a heterogeneous glioma infiltrate, implicated in cancer progression. We performed single-cell RNA-sequencing, to survey TAM response-patterns in glioma.

  Study EGAS00001002185

• WGS data of paediatric hyperdiploid B cell acute lymphoblastic leukemia (set5)

  The dataset includes FASTQ and CRAM files from diagnostic and matched remission (control) samples of four hyperdiploid ALL patients (ALLT-502, ALLK-130, ALLK-137, ALLK-139). Sequencing libraries were made using PCR free-based WGS library preparation (PCR-), using Novogene NGS DNA Library Prep Set (Cat No. PT004). Both diagnostic (90x) and remission (30x) samples were sequenced using Illumina NovaSeq X Plus.

  Dataset EGAD50000002428

• Case Report: Pre-Clinical Combination Targeting VEGF and PI3K in a Rare, Aggressive Mixed Endometrial Carcinoma

  We report a rare case of a young patient (VENUS 167) initially diagnosed with grade 1 endometrioid endometrial cancer, which, following endocrine treatment, presented with mixed aggressive carcinoma with three distinct histologic patterns: grade 1 endometrioid, large cell neuroendocrine, and undifferentiated carcinoma. The NGS fastq data are WES, RNAseq and ATAC

  Dataset EGAD50000002397

• Spatial CosMx Human 6K

  we profiled the cellular composition and TME spatial organization in 4 ICB-resistant HCC patients using single-cell spatial transcriptomics (CosMx Human 6K Discovery Panel). We identified 397 fields-of-view (0.51 mm by 0.51 mm) of hematoxylin and eosin (H&E)-defined tumor and stromal regions followed by cell segmentation using a nuclear stain plus 4 protein markers, yielding 485,209 high-confidence single-cell profiles that were subsequently categorized into distinct cell types based on marker gene annotation.

  Dataset EGAD50000002052

• WES_dataset1

  Fourteen MEITLs and one EATL previously had been sequenced using the SureSelectXT Target Enrichment System (Agilent Technologies, Santa Clara, CA, USA).

  Dataset EGAD50000001620

• Human Single-Oocyte Transcriptome - Control and Cannabis Treated

  RNAseq data of human single oocytes exposed to THC and its metabolites, (mean concentration measured in the follicular fluid, THC1, n=95, 25 ng/mL Δ9-THC, 5 ng/mL 11-OH-THC, 50 ng/mL 11-COOH-THC) or a supraphysiologic, THC2, n=93, 100 ng/mL Δ9-THC, 50 ng/mL 11-OH-THC, 200 ng/mL 11-COOH-THC).

  Dataset EGAD50000001534

• RNA seq samples

  Dataset contains 12 RNA-Seq samples sequenced on the Illumina NextSeq500 sequencer. 6 samples are controls (D1-Tact-Plasma,D2-Tact-Plasma,D3-Tact-Plasma,D1-TUnstim-Plasma,D2-TUnstim-Plasma,D3-TUnstim-Plasma) 6 samples are case (D1-Tact-SF,D2-Tact-SF,D3-Tact-SF,D1-TUnstim-SF,D2-TUnstim-SF,D3-TUnstim-SF)

  Dataset EGAD50000001189

• ChIP seq samples

  Dataset contains 12 ChIP-Seq samples sequenced on the Illumina NextSeq500 sequencer. 3 samples are control samples (HcAct-Chip 1,HcAct-Chip 2,HcAct-Imput 2) 9 samples are case samples (HcAct2DG-Chip 1,HcAct2DG-Chip 2,HcAct2DG-Imput 1,JIAAct-Chip1,JIAAct-Chip2,JIAAct-Imput2,JIAAct2DG-Chip1,JIAAct2DG-Chip2,JIAAct2DG-Imput2)

  Dataset EGAD50000001188

• mUM patient biopsies bulk RNAseq

  Tumour biopsies were obtained from uveal melanoma patients (n = 35) pre and 16 days post treatment with tebentafusp. Biopsies, which were either snap frozen or put in RNA later, were analysed by bulk RNA sequencing (50 million reads per sample) using the Illumina NovaSeq system

  Dataset EGAD50000001225

• WES of head and neck cancer patients refractory to anti-PD-1 therapy

  Whole exome sequencing (WES) was performed on baseline (before low-dose 5-aza treatment) blood and tumor paired samples from 12 participants with head and neck cancer who were refractory to anti-PD-1 therapy. DNA extractions were performed by the Broad Institute of MIT and Harvard using Qiagen AllPrep DNA/RNA kits (Cat. 80204). In total, 24 150-bp pair-end WES data were generated by Illumina.

  Dataset EGAD50000001011

• Whole-genome cfDNA TAPS sequencing data from 91 people with various types of cancer and from non-cancer controls

  TAPS data in the form of BAM files from 214 samples: plasma (at 80x) and matched germline (at 30x) pairs from 61 cancer and 30 non-cancer subjects, fresh-frozen matched tumour biopsies (at 80x) from 16 subjects, as well as several follow-up plasma samples (at 80x) from 10 subjects with colorectal cancer.

  Dataset EGAD50000000996

• Targeted capture sequencing to identify MYC, BCL2, and BCL6 rearrangements in non-Hodgkin lymphoma

  Targeted capture sequencing of 364 samples representing a mix of Burkitt lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, and high-grade B-cell lymphomas with MYC and BCL2 or BCL6 rearrangements. Capture space covers 3.5 Mb of the human genome including regions around MYC, BCL2, BCL6, PAX5, and IGH/K/L.

  Dataset EGAD50000000489

• RNA-seq dataset

  RNA-seq data from CD20+ sorted cells obtained from peripheral blood and lymph node Follicular Lymphoma patients. These samples were unstimulated after thawing and additionally, peripheral blood samples were stimulated during 7 days in culture as described in Dobaño-López C et al. Stranded RNA-seq libraries were performed using the TruSeq library kit (Illumina, San Diego, CA, USA). Libraries were sequenced on a NextSeq 2000 (Illumina) in a 2x50bp length.

  Dataset EGAD50000000347

• RNA sequencing of BCP-LBL patients samples

  In order to perform comprehensive transcriptomics and gene fusion analyses of a cohort of BCP-LBL patients, we performed RNA sequencing of 49 tissue samples from BCP-LBL patients. Because the material was available as FFPE, and had a relative low quality, we used a capture-based approach, where NGS libraries obtained from total RNA were captured in 4-plex, using a whole exome capture panel.

  Dataset EGAD50000000419

• bfast CohortD ctDNA manifest

  A list of ctDNA samples included in the dataset.

  Dataset EGAD50000000146

• Single-cell analysis of matched FFPE and frozen tissue samples reveals comparable resolution of intratumoural heterogeneity

  Testing the differences between FFPE and fresh frozen derived single cell results.

  Dataset EGAD00001015781

• Genome and transcriptome sequence data from a malignant peripheral nerve sheath tumor patient

  Genome and transcriptome sequence data from a malignant peripheral nerve sheath tumor patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001015583

• Single-cell RNA and TCR sequencing of 37 PBMC pools of advanced HCC patients.

  scRNAseq and scTCRseq of serial peripheral blood mononuclear cell (PBMC) samples (n=72) taken at various timepoints before and during treatment (Week 0 (W0), Week 3 (W3), Week 6 (W6)). PBMC samples were pooled together into 37 pools, loading 2 or three samples per lane in the 10X Genomics chip, in equal proportions, according to a pre-designed pooling matrix.

  Dataset EGAD00001011345

• Genome and transcriptome sequence data from a breast cancer patient

  Genome and transcriptome sequence data from a breast cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010315