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EGAC00001000000 Data Sharing

This DAC controls 232 datasets:

Dataset Accession Technologysort descending Samples Description
EGAD00001000002 11 Massive genomic rearrangement acquired in a single catastrophic event during cancer development
EGAD00001000001 18 Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma
EGAD00010000644 1022 Affymetrix SNP6.0 cancer cell line exome sequencing data
EGAD00001000888 AB 5500 Genetic Analyzer; 4 NSCLC WGS.
EGAD00010000452 Affymetrix_SNP6 36 Chondrosarcoma case sample genotype using Affymetrix SNP6.0
EGAD00010000395 Affymetrix_SNP6 19 Myeloma case sample genotype using Affymetrix SNP6.0
EGAD00010000488 Affymetrix_SNP6- 7 Chondroblastoma case sample genotype using Affymetrix SNP6.0
EGAD00001001265 HiSeq X Ten; 18 Genomic architecture of mesothelioma parent study is project 925. This project is set up in parallel to project 925 in order to Whole genome sequence ten of the 59 tumours in that project.
EGAD00001001266 HiSeq X Ten; 12 Whole genome sequencing of primary angiosarcoma
EGAD00001001267 HiSeq X Ten; 60 Anaplastic meningiomas are a rare, malignant variant of meningioma. At present there is no effective treatment for this cancer. The aim of the study is to identify somatic mutations in anaplastic meningiomas. We plan to sequence a set of 500 known cancer genes in 50 anaplastic meningioma and corresponding peripheral blood DNA samples. Bioinformatics will be used to analyse the results to assess the probability of these mutations being causal and so likely of critical importance for the tumour growth. Identification of these mutations will guide selection of appropriate compounds to effectively treat the disease.
EGAD00001001271 HiSeq X Ten; 50 Around 50 samples of pre-invasive lung cancer lesions showing subsequent clinical and pathological progression or regression
EGAD00001001889 HiSeq X Ten; 9 ***THIS DATA CAN ONLY BE USED FOR NON-COMMERCIAL CANCER RESEARCH*** Sequencing of organoid cell lines derived from oesophageal tumour sections taken from patients diagnosed with primary oesophageal cancer who underwent tumour resection surgery.
EGAD00001001898 HiSeq X Ten; 131 The study will investigate serial samples from the same patient taken at the time of MGUS or SMM diagnosis, and later at the time of evolution towards MM. Samples will be sequenced by whole genome along with a matched normal to obtain the highest possible amount of information toinvestigate genomic changes at disease evolution. This dataset contains all the data available for this study on 2016-01-27.
EGAD00001001429 HiSeq X Ten; 2 Profiling subclonal architecture and phylogeny in tumors by whole-genome sequence data mining and single-cell genome sequencing
EGAD00001001447 HiSeq X Ten; 19 Whole genome sequencing of single cell derived organoids from normal colon tissue and colorectal cancer.


DAC description