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• Dataset with genome-wide array data from 64 Tunisian and 45 Moroccan individuals.

  Study EGAS00001006427

• WGS of KCNQ2 R201C patient derived iPSC and its isogenic line

  Study EGAS00001007231

• PTPN22 LOTx dataset

  Genotype of PTPN22 SNPs in LOTx donors and recipients

  Dataset EGAD00010001645

• PDX-OmniExpress24

  Primary and PDX SqCC samples using Infinium OmniExpress-24

  Dataset EGAD00010001228

• EGAD00000000029

  Aggregate results from a case-control study on stroke and ischemic stroke.

  Dataset EGAD00000000029

• Huch Lab, Max Planck Institute of Molecular Cell Biology and Genetics

  Dac EGAC50000000112

• Clonal Driver Neoantigen Loss under EGFR TKI and Immune Selection Pressures

  NNN

  Study EGAS00001007926

• Genome-wide methylation detection and episignature analysis using PacBio long-read sequencing

  Study EGAS00001008250

• 20200819_EGA_Qld_Melanoma.radiomics

  A radiomics study integrating PET/CT, WES and RNAseq data

  Dataset EGAD00001006375

• Single-cell RNA-seq (10x) – melanoma samples

  This dataset comprises raw FASTQ files generated from single-cell RNA sequencing of metastatic melanoma lymph node samples using the 10x Genomics Chromium platform. Single-cell suspensions were prepared from tumour tissues, and libraries were constructed using 5′ or 3′ gene expression kits following the manufacturer’s protocol. Sequencing was performed on an Illumina platform to obtain high-throughput single-cell transcriptomic profiles. The dataset includes samples from patients with differing responses to immune checkpoint inhibitor therapy, enabling characterisation of tumour-resident immune cell populations and tumour–immune interactions associated with treatment response and resistance.

  Dataset EGAD50000002476

• Direct transcriptional consequences of somatic mutation in breast cancer

  The disordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription; co-ordinated secondary alterations in transcriptional pathways; and increased transcriptional noise. To catalogue the rules governing how somatic mutation Overall, 59% of 6980 exonic substitutions were expressed. Compared to other classes, nonsense mutations showed lower expression levels than expected with patterns characteristic of nonsense-mediated decay. 14% of 4234 genomic rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusion transcripts and premature poly-adenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes may drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data therefore reveals the rules by which transcriptional machinery interprets somatic mutation.

  Dataset EGAD00001002236

• RNA-seq dataset: Single-cell spatial analysis of pediatric high-grade glioma reveals a novel population of immunosuppressive and tumor-promoting SPP1+/GPNMB+ myeloid cells

  Our study utilizes two novel techniques, cyclical immunofluorescence imaging and single-cell spatial transcriptomics, to spatially map the tumor microenvironment of a large sample set of pediatric high-grade gliomas (pHGG). Using these methods, we have identified an abundant immunosuppressive myeloid cell population that has not been described in the context of pediatric high-grade gliomas. We validate our findings using an in vitro assay, spatial analysis on additional pHGG biopsies, independent spatial transcriptomic data, bulk RNA sequencing data of an expanded cohort of in-house patients, and publicly available bulk RNA sequencing data of an even larger cohort of pHGG patients.

  Dataset EGAD00001015450

• Department of Pathology and Tumor Biology, Kyoto University Data Access Committee

  Dac EGAC00001000150

• Whole exome sequencing in patients with ALS and concomitant FTD lacking the C9orf72 repeat expansion

  Dac EGAC00001000656

• Effect of aging on chromatin accessibility and gene expression in immune cells, The Jackson Laboratory

  Dac EGAC00001000721

• Genetics and transcriptomes of pediatric B cell precursor leukemia with gain of chromosome 21

  Dac EGAC00001001348

• Swarm Learning to identify COVID-19, tuberculosis and leukemia patients based on blood transcriptomes

  Dac EGAC00001001639

• Immune infiltrate and tumor microenvironment transcriptional programs stratify pediatric osteosarcoma into prognostic groups at diagnosis

  Dac EGAC00001002133

• The European MAPPYACTS trial: Precision Medicine Program in Pediatric and Adolescent Patients with Recurrent Malignancies

  Dac EGAC00001003276

• Genomic validation of the revised Bethesda criteria in terms of pathogenesis and oncologic significance

  Study EGAS00001003959

• X chromosome dosage and the impact on the methylation pattern across human tissues

  Study EGAS00001007020

• Extreme intratumor heterogeneity and driver evolution in mismatch repair deficient gastro-esophageal cancer

  Study EGAS00001003434

• Biological and Therapeutic Implications of a Unique Subtype of NPM1 Mutated AML

  Study EGAS00001004872

• Inherited CD28 deficiency in otherwise healthy patients with disseminated warts and giant horns

  Study EGAS00001004837

• Microbiome confounders and quantitative profiling challenge established microbial targets in colorectal cancer developmental stages

  Study EGAS00001007413