The Natural History of Human Prostate Cancer
Whole genome DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of 3 men. For each of three different prostates, multiple tumour samples (4, 5, and 3 depending on the case) and one normal tissue sample were whole genome sequenced with a matched blood sample using the Illumiuna HiSeq platform. Tumour samples were sequenced to a target depth of 50X and normals and blood to a target depth of 30X. As of September 2020, some of the studies using these data include: Cooper et al, Nature Genetics 2015 (PMID: 25730763) Wedge et al, Nature Genetics 2018 (PMID: 29662167) Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)
- 27/05/2015
- DAC: EGAC00001000010
- Technology: Illumina HiSeq 2000
http://www.icgc.org/icgc/goals-structure-policies-guidelines/e1-informed-consent-access-and-ethical-oversight
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
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Other |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
ID | File Type | Size | Located in | |
---|---|---|---|---|
EGAF00000145141 | bam | 77.6 GB | ||
EGAF00000145142 | bam | 88.5 GB | ||
EGAF00000145143 | bam | 159.4 GB | ||
EGAF00000145144 | bam | 232.8 GB | ||
EGAF00000507637 | bam | 162.1 GB | ||
EGAF00000507638 | bam | 82.5 GB | ||
EGAF00000507639 | bam | 152.0 GB | ||
EGAF00000507640 | bam | 152.3 GB | ||
EGAF00000507641 | bam | 134.0 GB | ||
EGAF00000507642 | bam | 88.0 GB | ||
EGAF00000507643 | bam | 155.3 GB | ||
EGAF00000507644 | bam | 132.2 GB | ||
EGAF00000507645 | bam | 156.4 GB | ||
EGAF00000507646 | bam | 148.6 GB | ||
EGAF00000507647 | bam | 78.9 GB | ||
EGAF00000507648 | bam | 137.5 GB | ||
EGAF00000507649 | bam | 126.4 GB | ||
EGAF00000507650 | bam | 91.9 GB | ||
18 Files (2.4 TB) |