-
Genetic Landscape of Esophageal Squamous Cell Carcinoma Defined by Exome Sequencing on Chinese Patient Cohort and Cell Lines
Study
EGAS00001000932
-
Genomic Characterization CS-MATCH-0007 Arm B
Study
phs002028
-
Genomic Characterization CS-MATCH-0007 Arm Z1I
Study
phs002058
-
Genomic Characterization CS-MATCH-0007 Arm Z1A
Study
phs001973
-
Genomic Characterization CS-MATCH-0007 Arm W
Study
phs001948
-
Genomic Characterization CS-MATCH-0007 Arm S2
Study
phs002178
-
Genomic Characterization CS-MATCH-0007 Arm R
Study
phs002029
-
Genomic Characterization CS-MATCH-0007 Arm S1
Study
phs002153
-
Genomic Characterization CS-MATCH-0007 Arm I
Study
phs002181
-
Genomic Characterization CS-MATCH-0007 Arm U
Study
phs002179
-
Genomic Characterization CS-MATCH-0007 Arm C1
Study
phs002177
-
Genomic Characterization CS-MATCH-0007 Arm P
Study
phs002152
-
Genomic Characterization CS-MATCH-0007 Arm Z1B
Study
phs002180
-
Genomic Characterization CS-MATCH-0007 Arm Q
Study
phs001926
-
Resolving complex duplication variants using long read genome sequencing in autism spectrum disorder
Study
EGAS50000000390
-
Sequencing of pancreatic cancer primary tumors and metastases
Study
EGAS00001002186
-
Losartan Effects on Emphysema Progression (LEEP-BioLINCC)
Study
phs004313
-
WES of melanoma tumors treated with combined immune checkpoint blockade
Study
EGAS00001003857
-
MutWP1: CRUK Grand Challenge Mutographs of Cancer: kidney (2019-03-26)
Dataset
EGAD00001004867
-
Clonal somatic copy number altered driver events inform drug sensitivity in high-grade serous ovarian cancer.
Dataset
EGAD00001008716
-
Single nucleus RNA Seq of LUAD patient derived lung samples
Dataset
EGAD00001008955
-
Metastatic Prostate Follow Up 2
Dataset
EGAD00001000989
-
Genetics of Glucose Regulation in Gestation and Growth (Gen3G) Cohort - Placenta Transcriptomics RNA Sequencing
Study
phs003151
-
Blood-based monitoring of relapsed/refractory cHL patients predict responses to PD-1 blockade treatment
Study
EGAS00001005894
-
Single-cell RNA-seq of celiac disease-specific plasma cells
Study
EGAS00001004623