-
BLUEPRINT release August 2016, RNA-Seq for CD4-positive, alpha-beta T cell, on genome GRCh38
Dataset
EGAD00001002348
-
BLUEPRINT release August 2016, RNA-Seq for central memory CD4-positive, alpha-beta T cell, on genome GRCh38
Dataset
EGAD00001002349
-
BLUEPRINT release August 2016, RNA-Seq for erythroblast, on genome GRCh38
Dataset
EGAD00001002358
-
BLUEPRINT release August 2016, ChIP-Seq for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell, on genome GRCh38
Dataset
EGAD00001002362
-
BLUEPRINT release August 2016, ChIP-Seq for CD3-negative, CD4-positive, CD8-positive, double positive thymocyte, on genome GRCh38
Dataset
EGAD00001002369
-
BLUEPRINT release August 2016, ChIP-Seq for effector memory CD8-positive, alpha-beta T cell, terminally differentiated, on genome GRCh38
Dataset
EGAD00001002503
-
BLUEPRINT release August 2016, ChIP-Seq for Germinal Center B-Cell-Like Diffuse Large B-Cell Lymphoma, on genome GRCh38
Dataset
EGAD00001002506
-
BLUEPRINT release August 2016, ChIP-Seq for effector memory CD4-positive, alpha-beta T cell, on genome GRCh38
Dataset
EGAD00001002514
-
BLUEPRINT release August 2016, RNA-Seq for CD3-positive, CD4-positive, CD8-positive, double positive thymocyte, on genome GRCh38
Dataset
EGAD00001002525
-
Normal sample for patient SA495
Dataset
EGAD00001009372
-
Normal sample for patient SA425
Dataset
EGAD00001009371
-
Normal sample for patient SA423
Dataset
EGAD00001009370
-
Normal sample for patient SA300
Dataset
EGAD00001009369
-
Normal sample for patient SA291
Dataset
EGAD00001009368
-
Normal sample for patient SA289
Dataset
EGAD00001009367
-
Normal sample for patient SA286
Dataset
EGAD00001009366
-
Normal sample for patient SA280
Dataset
EGAD00001009365
-
Normal sample for patient SA239
Dataset
EGAD00001009364
-
Normal sample for patient SA679
Dataset
EGAD00001009379
-
Normal sample for patient SA680
Dataset
EGAD00001009380
-
Normal sample for patient SA681
Dataset
EGAD00001009381
-
Normal sample for patient SA682
Dataset
EGAD00001009382
-
Normal sample for patient SA683
Dataset
EGAD00001009383
-
Normal sample for patient SA678
Dataset
EGAD00001009378
-
Normal sample for patient SA677
Dataset
EGAD00001009377
-
Normal sample for patient SA673
Dataset
EGAD00001009373
-
Normal sample for patient SA676
Dataset
EGAD00001009376
-
Normal sample for patient SA674
Dataset
EGAD00001009374
-
Normal sample for patient SA675
Dataset
EGAD00001009375
-
Access to dataset, "Feasibility of Functional Precision Medicine for Guiding Treatment of Relapsed/Refractory Pediatric Cancers"
Dac
EGAC50000000124
-
Internal Medicine II Technical University Munich DAC
Dac
EGAC50000000165
-
DAC for Hematological toxicity following CAR-T cells injection
Dac
EGAC50000000490
-
Cardiac fibroblast DAC
Dac
EGAC50000000479
-
BCR-HGBCL-DH-BCL2 project DAC
Dac
EGAC50000000500
-
AS_genotyping
Dataset
EGAD00010002476
-
BRACOVID_genotype
Dataset
EGAD00010002172
-
NativeAmericans_InstitutoNacionaldeSalud_hg38_autosomic_3group
Dataset
EGAD00010001992
-
NativeAmericans_InstitutoNacionaldeSalud_hg37_autosomic_1group
Dataset
EGAD00010001991
-
NativeAmericans_InstitutoNacionaldeSalud_hg38_autosomic_2group
Dataset
EGAD00010001990
-
TP53_KO_RPE1_SNPs
Dataset
EGAD00010001566
-
Whole Exome Sequencing for Verhaak-GBM
Dataset
EGAD00001001111
-
Whole Exome Data for Verhaak-GBM
Dataset
EGAD00001001112
-
Whole Exome sequencing for Verhaak-GBM
Dataset
EGAD00001001113
-
Whole genome sequencing data of ccRCCs
Dataset
EGAD00001004588
-
Exome sequencing VCF files for glioma progression
Dataset
EGAD00001001887
-
Genome and transcriptome sequence data from a sigmoid cancer and an ampullary cancer patient
Dataset
EGAD00001003046
-
Genome and transcriptome sequence data from a tongue squamous cell carcinoma (head and neck) patient
Dataset
EGAD00001005865
-
Genome and transcriptome sequence data from a invasive high-grade serous carcinoma involving tubal mucosa and ovary with serosa patient
Dataset
EGAD00001010971
-
Inherited Corneal Dystrophies - Institute of Ophthalmology, University College London (IoO, UCL)
Dac
EGAC50000000213
-
Mechanism of Decitabine response in MDS/AML patients
Dac
EGAC50000000550
-
Exome sequencing for identifying point mutations driving M haemophilum susceptibility
Study
EGAS50000001076
-
SMPaeds cfDNA lcWGS
Dataset
EGAD50000000782
-
Genotypes_Agta
Dataset
EGAD00010002140
-
TwinsUK_EpiTwin_DNA_Methylome
Dataset
EGAD00010000983
-
Dataset for study EGAS00001004946 (Endothelium-derived stromal cells contribute to bone marrow niche formation)
Dataset
EGAD00001006914
-
Cellular Dynamics Upon Immune Checkpoint Inhibition
Dac
EGAC50000000321
-
Non-Hodgkin Lymphoma WES Data Access Committee
Dac
EGAC50000000998
-
Reference epigenome OB56_N_PreA_WGBS data generated from KEP study
Dataset
EGAD00001003479
-
UROMOL 2020 - RNA-seq data for validation
Study
EGAS00001005050
-
IMpower133 subtype assignments
Dataset
EGAD00001006926
-
RPPA analysis + clinical data
Dataset
EGAD00001008507
-
Sequencing_the_exome_of_12_early_sporadic_human_colorectal_cancers__CRC_
Study
EGAS00001000358
-
CBD-RAW-SC-GEX: 10X Single-Cell Gene Expression
Dataset
EGAD00001008007
-
African Partnership for Chronic Disease Research (APCDR) DAC
Dac
EGAC00001000237
-
cfDNA whole-genome TAPS data for cancer detection DAC
Dac
EGAC50000000440
-
DAC for "Cross-species Comparison Reveals Therapeutic Vulnerabilities Halting
Glioblastoma Progression" with Prof. Dr. Ana Martin-Villalba(a.martin-villalba@dkfz-heidelberg.de), Santiago Cerrizuela(s.cerrizuela@dkfz-heidelberg.de)
Dac
EGAC00001003564
-
Clonotype Analysis Data
Dataset
EGAD50000001518
-
RNAseq for 190 AML patients
Dataset
EGAD50000000490
-
LOPEZ_2019.vcf.gz
Dataset
EGAD00010002100
-
HPAH Genotyping data
Dataset
EGAD00010001633
-
README-for-EGAS00001004349-linking-HIPO-K09R-WGS-files
Dataset
EGAD00001006739
-
Whole exome data for AEL paper
Dataset
EGAD00001003413
-
RNA-Seq data for AEL paper
Dataset
EGAD00001003412
-
Cancer Alliance RNA-Seq PolyA
Dataset
EGAD00001006234
-
Purple copy number segments for EGAS00001004572
Dataset
EGAD00001006908
-
RNA-seq of human astroblastomas
Dataset
EGAD00001009664
-
LOGGIC Core BioClinical Data Bank: Added clinical value of RNA-Seq in an international molecular diagnostic registry for pediatric low-grade glioma patients
Study
EGAS00001007072
-
G3-MB ATAC Sequencing
Dataset
EGAD50000002305
-
G3-MB WGS
Dataset
EGAD50000002302
-
Hessequa-descendants Genome-wide SNP data
Dataset
EGAD00010002113
-
scoop-G-1
Dataset
EGAD00010001623
-
GWAS results from Danjou et al, Nature Genetics 2015
Dataset
EGAD00010001722
-
EGAD00010000498
Dataset
EGAD00010000498
-
Reference epigenome OB56_N_PreA_mRNA-Seq data generated from KEP study
Dataset
EGAD00001003486
-
Reference epigenome IPS05_X_NPC_WGBS data generated from KEP study
Dataset
EGAD00001003477
-
Reference epigenome IPS06_X_ENeuron_WGBS data generated from KEP study
Dataset
EGAD00001003478
-
Modern Aboriginal Australians WGS
Dataset
EGAD00001004492
-
Cancer Alliance RNA-Seq total RNA
Dataset
EGAD00001006235
-
Germline snv g.vcf for EGAS00001004572
Dataset
EGAD00001006910
-
R code
Dataset
EGAD00001007652
-
ChIPseq data
Dataset
EGAD00001008665
-
Deep sequencing of melanoma for driver mutations
Dataset
EGAD00001001445
-
BLUEPRINT release August 2015, RNA-Seq for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell, on genome GRCh38
Dataset
EGAD00001001534
-
BLUEPRINT release January 2015, RNA-Seq for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell
Dataset
EGAD00001001165
-
BLUEPRINT release August 2014, RNA-Seq for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell
Dataset
EGAD00001000903
-
BLUEPRINT release August 2016, RNA-Seq for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell, on genome GRCh38
Dataset
EGAD00001002339
-
Tumour sample for patient SA533
Dataset
EGAD00001009517
-
Tumour sample for patient SA420
Dataset
EGAD00001009519
-
Tumour sample for patient SA296
Dataset
EGAD00001009520
-
Tumour sample for patient SA409
Dataset
EGAD00001009518