Sort   by:  
 Page size 
GenomicsQuantification of chromosomal copy number aberrations by shallow whole-genome sequencing
Detection of DNA copy number aberrations by shallow whole-genome sequencing (WGS) faces many challenges including lack of completion and errors in the human reference genome, repetitive sequences, polymorphisms, variable sample quality, and biases in the sequencing procedures. Formalin-fixed paraffi...
EGAS00001000642 | EGA
Genomicsena-DATASET-VUMC-CCA-18-03-2014-11:02:55:717-600 - samples
Description not provided
EGAD00001000780 | EGA
GenomicsEvolution of DNA repair defects during malignant progression of low-grade gliomas after temozolomide treatment.
Temozolomide (TMZ) increases the overall survival of patients with glioblastoma (GBM), but its role in the clinical management of diffuse low-grade gliomas (LGG) is still being defined. DNA hypermethylation of the O 6 -methylguanine-DNA methyltransferase (MGMT) promoter is associated with an improve...
EGAS00001001179 | EGA
GenomicsFRONTIER DNA methylation
Tumor biopsies profiled by DNA methylation array
EGAD00010002182 | EGA
GenomicsSpatial concordance of DNA methylation classification in diffuse glioma
Background: Intratumoral heterogeneity is a hallmark of diffuse gliomas. DNA methylation profiling is an emerging approach in the clinical classification of brain tumors. The goal of this study is to investigate the effects of intratumoral heterogeneity on classification confidence. Methods: We use...
EGAS00001005434 | EGA
GenomicsVarn Lab Data Access Committee
Data Access Committee EGAC00001002214
EGAC00001002214 | EGA
Genomicsena-DATASET-VUMC-CCA-03-09-2014-18:57:30:134-11 - samples
Background: The disease course of patients with diffuse low-grade glioma is notoriously unpredictable. Temporal and spatially distinct samples may provide insight into the evolution of clinically relevant copy number aberrations (CNAs). The purpose of this study is to identify CNAs that are indicati...
EGAD00001001000 | EGA
GenomicsJ_Costello_20150303_dataset - samples
Dataset contains WES data from 3 astrocytoma patients: blood as control, primary tumor and recurrent tumor
EGAD00001001305 | EGA
GenomicsJ_Costello_20130912_dataset - samples
Description not provided
EGAD00001000714 | EGA
GenomicsMutational analysis reveals the origin and therapy-driven evolution of recurrent glioma
Tumor recurrence is a leading cause of cancer mortality. Therapies for recurrent disease may fail, at least in part, because the genomic alterations driving the growth of recurrences are distinct from those in the initial tumor. To explore this hypothesis, we sequenced the exomes of 23 initial low-g...
EGAS00001000579 | EGA
Sort   by:  
 Page size