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GenomicsEGAD00000000047
Signal data for from 3 recurrent and 1 ovarian primary Granulosa Cell Tumour samples
EGAD00000000047 | EGA
GenomicsEGAD00000000048
Sequencing data from oestrogen-receptor-alpha-positive metastatic lobular breast cancer sample
EGAD00000000048 | EGA
GenomicsEGAD00000000049
RNA-SEQ data from oestrogen-receptor-alpha-positive metastatic lobular breast cancer sample
EGAD00000000049 | EGA
GenomicsEGAD00000000046
RNA-SEQ data from 3 recurrent and 1 ovarian primary Granulosa Cell Tumour samples
EGAD00000000046 | EGA
GenomicsMutation of FOXL2 in granulosa cell tumors of the ovary
We generated paired-end RNA-Seq data using the Illumina Genome Analyzer II platform for four adult granulosa cell tumours (GCTs) of the ovary (1 primary, 3 recurrent). We screened this data for the presence of GCT specific sequence variants and detected a non-synonymous mutation in the FOXL2 gene th...
EGAS00000000040 | EGA
GenomicsMutational evolution in a lobular breast tumour profiled at single nucleotide resolution
We have used next generation sequencing to sequence genomes (>43-fold coverage) and transcriptomes of an oestrogen-receptor-alpha-positive metastatic lobular breast cancer at depth. We found 32 somatic non-synonymous coding mutations present in the metastasis, and measured the frequency of these som...
EGAS00000000054 | EGA
Genomicsena-DATASET-BCCA-13-11-2014-22:09:20:907-954 - samples
Dynamics of genomic clones in breast cancer patient xenografts at single cell resolution
EGAD00001001066 | EGA
GenomicsDynamics of genomic clones in breast cancer patient xenografts at single cell resolution
Human cancers, including breast cancers, are comprised of clones differing in mutation content that evolve dynamically in space and time following principles of Darwinian evolution, underpinning important emergent features such as drug resistance and metastasis. Human breast cancer xenoengraftment i...
EGAS00001000952 | EGA
GenomicsBC Cancer, part of the Provincial Health Services Authority, Technology Development Office, Data Access Committee (PHSA TDO DAC)
Access to data generated by BCCA is made available by completing the data access agreement for review by the data access committee and will be granted to qualified investigators for appropriate use.
EGAC00000000011 | EGA
GenomicsWhole genome sequencing - samples
Mutational landscapes of primary triple negative breast cancers - WGS
EGAD00001000115 | EGA
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