Mutant clone mapping in normal oesophagus (2019-04-03)
We will use targeted exome sequencing to examine normal appearing epithelium and whole exome and whole genome sequencing of microdissected clones identified by immunostaining Some of the samples will be of low DNA concentration and therefore may require extra rounds of amplification during library prep. . This dataset contains all the data available for this study on 2019-04-03.
- 5 samples
- DAC: EGAC00001000205
- Technology: Illumina HiSeq 2500
Wellcome Trust Sanger Institute Data Sharing Policy
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 |
---|---|---|
Cancer Genomics |
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 | |
---|---|---|---|---|
EGAF00002067251 | cram | 2.4 GB | ||
EGAF00002067252 | cram | 1.3 GB | ||
EGAF00002067253 | cram | 2.4 GB | ||
EGAF00002067254 | cram | 1.8 GB | ||
EGAF00002067255 | cram | 3.2 GB | ||
EGAF00002067256 | cram | 2.4 GB | ||
EGAF00002067257 | cram | 1.3 GB | ||
EGAF00002067258 | cram | 2.4 GB | ||
EGAF00002067259 | cram | 1.8 GB | ||
EGAF00002067260 | cram | 3.3 GB | ||
EGAF00002067261 | cram | 2.4 GB | ||
EGAF00002067262 | cram | 1.3 GB | ||
EGAF00002067263 | cram | 2.4 GB | ||
EGAF00002067264 | cram | 1.8 GB | ||
EGAF00002067265 | cram | 3.3 GB | ||
EGAF00002067266 | cram | 2.4 GB | ||
EGAF00002067267 | cram | 1.3 GB | ||
EGAF00002067268 | cram | 2.4 GB | ||
EGAF00002067269 | cram | 1.8 GB | ||
EGAF00002067270 | cram | 3.3 GB | ||
EGAF00002067271 | cram | 2.4 GB | ||
EGAF00002067272 | cram | 1.3 GB | ||
EGAF00002067273 | cram | 2.4 GB | ||
EGAF00002067274 | cram | 1.8 GB | ||
EGAF00002067275 | cram | 3.3 GB | ||
25 Files (55.5 GB) |