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• Kerl Pediatric Oncology Münster

  Kerl lab at the Department of Pediatric Hematology and Oncology, University Hospital Münster, Münster, Germany

  Dac EGAC50000000765

• Next generation sequencing of plasma cell neoplasms

  Includes raw data for genome sequencing studies performed at the University of Miami

  Dac EGAC50000000593

• GATCI exome sequencing fastqs

  Raw whole exome sequencing data (fastq) for the GATCI project

  Dataset EGAD00001005808

• Global Anaplastic Thyroid Cancer Initiative

  Raw exome sequence data(fastq) for the GATCI project

  Dataset EGAD00001003235

• ChIIP-seq and RNA-seq

  epigenome profiling in tumor tissues and paired normal tissues of LUAD patients and transcriptome profiling in tumor tissues of LUAD patients.

  Dataset EGAD00001007066

• The data access committee for Single molecule genome-wide mutation profiles of cell-free DNA for non-invasive detection of cancer

  Dac EGAC00001003253

• EGAD00010000518

  Samples from the Greek island of Crete, MANOLIS cohort

  Dataset EGAD00010000518

• Fastq files for SAIF genome

  This dataset contain the raw files generated for SAIF genome project

  Dataset EGAD00001000254

• The UCSF Low Grade Glioma Genome Project #1

  Dataset EGAD00001000714

• Whole Exome Sequencing of Bipolar cases and matched controls performed at the Broad Institute on a cohort from Germany

  Study EGAS00001005858

• The effector program of human CD8 T cells can promote both target cell killing and tissue remodeling

  Study EGAS00001006960

• DAC for study involving the spatial transcriptomics analysis of HPV-dependent and HPV-independent vulval squamous cell carcinoma at Imperial College London.

  Dac EGAC00001003515

• PEVOsq WES data

  Raw paired FASTQ data of patients at baseline from the PEVOsq cohort

  Dataset EGAD50000001013

• Structural and Non-Coding Variants Increase the Diagnostic Yield of Clinical Whole Genome Sequencing for Rare Diseases

  Study EGAS00001007575

• Precise reconstruction of the tumor microenvironment using bulk RNA-seq and a unique machine learning-based algorithm trained on artificial transcriptomes

  Study EGAS00001006272

• A cycling, progenitor-like cell population at the root of atypical teratoid rhabdoid tumor subtype differentiation trajectories

  Study EGAS00001008123

• Capture Hi-C

  Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci.

  Dataset EGAD00001001243

• FGFP_16S

  Firs 1106 16S rDNA data for the Flemish Gut Flora Project

  Dataset EGAD00001001936

• Cell Line Dataset

  Frequent somatic transfer of mitochondrial DNA into the nuclear genome of human cancer cells

  Dataset EGAD00001001349

• qDNAseq CLUC dataset

  qDNAseq shallow sequencing dataset of the cell line use case.

  Dataset EGAD00001002071

• Datasets 929/938

  Datasets Galaxy 929/938 describe the amplified single chromosome sequencing data.

  Dataset EGAD00001004457

• 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

• Methylome profiling of Solitary fibrous tumor/Hemangiopericytoma (SFT/HPC) and a patient derived cell-line model

  Solitary fibrous tumor/Hemangiopericytoma (SFT/HPC) is a rare subtype of soft tissue sarcoma associated with NAB2-STAT6 gene fusions. This study established and characterized a novel SFT/HPC patient-derived cell line called SFT-S1 using the twist human methylome panel.

  Study EGAS50000000026

• snRNA-seq on patient tumours

  snRNA-seq performed on patient tumours (n = 6 patients, one biopsy sample each sequenced) using the 10x technology. Single nuclei were acquired from six frozen mCRPC biopsies (4 lymph node, 2 liver metastases) obtained from consenting patients treated at the Royal Marsden Hospital between 2018 and 2023 under an institutional review board approved research protocol (Research Ethics Committee approval number: 04/Q0801/60). All six patients had previously received androgen-receptor signalling inhibitor(s) and five of six patients had previously received taxane(s).

  Dataset EGAD50000000874

• ProstOmics - DNA methylation v1

  Bulk methylation array data from 64 prostate tissue samples from 16 patients (5 with post-surgery relapse). Methylation data were acquired using the microarray kit Illumina Infinium MethylationEPIC BeadChip (n=64 ). The individual samples have information on patient origin and sample type (cancer, cancer-adjacent field-effect normal or normal sample far from cancer). Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.

  Dataset EGAD50000000605