-
PDX WGS for #264
Dataset
EGAD50000000033
-
PDX WES for #039 and #049
Dataset
EGAD50000000034
-
DAC - organotypic co-cultures @IEO
Dac
EGAC50000000238
-
eQTL-CHiC DAC
Dac
EGAC50000000445
-
DAC for Transcriptomic and genomic profiling of fragile X syndrome unmethylated full mutation carriers
Dac
EGAC50000000416
-
Distinct Phenotypes of Human Intrahepatic and Extrahepatic Bile duct Organoids and their Applications for Biliary Disease Modeling
Study
EGAS00001003792
-
DKFZ-HIPO DACO for "Patient-derived tumoroids from CIC::DUX4 rearranged sarcoma identify MCL1 as a therapeutic target"
Dac
EGAC00001003559
-
Data Access Committee for Patient-derived tumoroids from CIC::DUX4 rearranged sarcoma identify MCL1 as a therapeutic target
Dac
EGAC00001003558
-
DAC_Circadian_Neuroendocrinology
Dac
EGAC50000000692
-
Cryopreservation of human cancers conserves tumour heterogeneity for single-cell multi-omics analysis
Study
EGAS00001005115
-
WGS dataset
Dataset
EGAD00001004359
-
PDAC
Dataset
EGAD00001004399
-
Nimblegen SeqCap Custom Panel Sequencing
Dataset
EGAD00001005494
-
Genomic Sequencing of Triple Negative Breast Cancer - Exome data
Dataset
EGAD00001015687
-
AML WGS bam
Dataset
EGAD00001015515
-
National Heart Lung and Blood Institute Exome sequencing in SCID
Study
phs000479
-
RNA-Sequencing of cervical cancers
Study
EGAS50000000087
-
Enhancer Mapping in Chronic Lymphocytic Leukemia
Study
phs001704
-
CADD/GADD centers on Antisocial Drug Dependence
Study
phs001841
-
Precision Diagnosis of Neurodevelopmental Disorders in Middle Eastern Populations
Study
phs003917
-
Proteogenomic discovery of a novel class of cancer antigens by HLA ligandome analysis of colon cancer tissues
Study
JGAS000280
-
Comprehensive analysis of the (epi)genome of pediatric atypical teratoid/rhabdoid tumours (AT/RTs)
Study
EGAS00001001297
-
Whole-exome sequencing of human pancreatic cancers and characterization of genomic instability caused by MLH1 haploinsufficiency and complete deficiency
Study
EGAS00001000149
-
DAC for high resolution genomic data generated by the Gisselsson Group at the Department of Clinical Genetics, Lund University.
Dac
EGAC00001000534
-
The data access committee for Multimodal Genomic Features Predict Outcome of Immune Checkpoint Blockade in Non-small Cell Lung Cancer
Dac
EGAC00001001331