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• Data Access Committee for LUAD m6A profiling

  Dac EGAC00001002257

• University of Melbourne Centre for Cancer Research (UMCCR) Data Access Committee

  Dac EGAC00001002442

• DAC for "Integrated genetic analysis of primary CNS lymphoma"

  Dac EGAC00001003233

• DAC UMR Inserm U1236

  DAC for UMR Inserm U1236 laboratory

  Dac EGAC50000000217

• Institute of Pathology for Oncology Department at CHUV

  Prof Solange Peters

  Dac EGAC50000000008

• Cancer Biomarkers team at The ICR DAC

  DAC for Cancer Biomarkers

  Dac EGAC50000000200

• SEP Mobidic DAC

  Data access committee for U1236 SEP datasets

  Dac EGAC50000000216

• DAC ICARUS LUNG 01

  Data access comittee for ICARUS LUNG 01

  Dac EGAC50000000459

• Data access committee for MS cervical lymph node scRNAseq dataset

  Dac EGAC50000000524

• Data access committee (DAC) for EPI-clone manuscript

  Dac EGAC00001003526

• DAC_ADARIO

  Data access committee for ADARIO / Targeting ADAR1 in Immuno-Oncology

  Dac EGAC50000000343

• Yale Policy for head and neck cancer and HPV clinical trials

  Dac EGAC00001003519

• DAC LIT AG Poeck

  DAC for LIT with associated group

  Dac EGAC50000000793

• DAC for Vitiligo studies from Immunology-Dermatology unit (CHU Bordeaux)

  Dac EGAC50000000773

• SickKids_Cancer Molecular Diagnostics

  Cancer Molecular Diagnostics at Hospital for Sick Children

  Dac EGAC50000000375

• Validation of a targeted sequencing panel for multiple myeloma

  Study EGAS00001006164

• EGAD00010000622

  SNP array data for gastric cancer cell lines

  Dataset EGAD00010000622

• Hepatoblastoma tumoroid biobank as a key resource for tumour genetics

  Study EGAS00001008251

• Genomic Sequencing of Pediatric Rhaboid Cancers

  In this study, we sequenced the exomes of 35 rhabdoid tumors, highly aggressive cancers of early childhood. This study is part of a larger effort to characterize pediatric cancers as part of the Slim Initiative for Genomic Medicine (SIGMA) project.

  Study phs000508

• Blood Handling and Leukocyte Isolation Methods Impact the Global Transcriptome of Immune Cells

  In order to characterize the effects of upstream sample handling on the transcriptome of isolated leukocyte populations, we simulated various sample handling methods on whole blood prior to leukocyte isolation for low-input RNA-sequencing.

  Study phs001563

• Ultrasensitive Profiling of UV Mutations in Facial Tumors in TSC

  In this study we searched for mutations in the TSC2 and TP53 genes in sample sets from individuals with Tuberous Sclerosis Complex (TSC) and from subjects without TSC. The study was focused on the analysis of TSC facial angiofibroma.

  Study phs002914

• Whole Exome Sequencing of Parathyroid Cancer Identifies Candidate Driver Mutations and Core Pathways

  Here we performed genomic characterization of twenty-nine sporadic parathyroid cancers using next generation whole exome sequencing. Thirty-three novel candidate driver genes for sporadic parathyroid cancer were proposed, in addition to previously known driver genes CDC73 and MEN1.

  Study phs001765

• The Normal Human Tissue Sequencing Project: Non-Diseased, Non-Malignant Tissues

  The Normal Human Tissue Sequencing Project provides RNA expression and DNA methylation data from normal (non-diseased) human tissues. This data set from a variety of source tissue is a valuable resource for human disease studies.

  Study phs000819

• Systematic Analysis of Coding and Non-coding Elements in Developmental Pathways Implicated in Holoprosencephaly Pathogenesis

  We applied targeted capture to examine 153 genes representative of all the major vertebrate developmental pathways among 340 probands and 285 of their unaffected parents to rank their relative significance as causes for holoprosencephaly (HPE).

  Study phs001653

• Germline Genetic Variants in Cancer-Susceptibility Genes in Patients with Osteosarcoma

  We conducted whole-exome sequencing of germline DNA from patients with osteosarcoma to estimate the frequency of pathogenic/likely pathogenic germline genetic variants in known cancer-susceptibility genes in a large population of osteosarcoma patients unselected for family history.

  Study phs002444