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• WGS from PDAC samples

  Bam files from WGS of PDAC samples used in the PCSI mismatch repair study

  Dataset EGAD00001006262

• 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

• HiC-sequencing in human monocyte differentiation

  This dataset consists of in situ HiC-seq data from human monocytes, monocyte-derived dendritic cells as well as monocyte-derived cells that were subjected to siRNA treatment targeting CTCF or RAD21. In total, the data set includes 42 samples.

  Dataset EGAD00001007955

• Measurable residual disease in elderly acute myeloid leukemia: results from the PETHEMA-FLUGAZA phase III clinical trial

  In our study, we hypothetyzed that CD34progenitors from cases with undetectable Minimal residual Disease (MRD) by flow cytometry would contain cells with leukemic-initiating-potential that could be identified on genetic (rather than phenotypic) grounds by Whole Exome Sequencing.

  Dataset EGAD00001006585

• Transcriptome sequencing of replication repair deficient brain cancers

  Hypermutant tumors which harbor many somatic mutations may obscure the interpretation of targetable genomic events. This dataset contains transcriptome sequencing from 21 replication repair deficient brain tumor samples as well as healthy controls.

  Dataset EGAD00001006921

• University of Helsinki and Turku University Hospital Data Access Committee

  Dac EGAC00001001760

• Multi-omics integration reveals only minor long-term molecular and functional sequelae in immune cells of individuals recovered from COVID-19

  Dac EGAC00001002267

• Whole Exome Sequencing of Spanish Patients diagnosed with rare ophtalmogenetic disorders: Macular Dystrophy, Retinitis Pigmentosa and Leber's congenital amaurosis.

  Study EGAS00001004084

• yemcha-U-1

  Yemen and Chad Genotyping

  Dataset EGAD00010001868

• 5074STDY-G-1

  Genetic Overlap between Metabolic and Psychiatric disease

  Dataset EGAD00010001484