WGS, RNA-seq and methyl-seq data for multiple tumour clones from a single glioblastoma case.
10 bams of WGS data from HiSeqXTen platform; 10 bams of RNA-seq data from HiSeq2500 platform; 7 bams of TruSeq Methyl Capture EPIC sequencing data from HiSeq4000 platform
- 20 samples
- DAC: EGAC00001001118
Data access policy associated with Clonal Heterogeneity in Glioblastoma study EGAS00001003438 and DAC EGAC00001001118
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 |
|---|---|---|
| EGAS00001003438 | 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 | |
|---|---|---|---|---|
| EGAF00002385509 | bam | 130.6 GB | ||
| EGAF00002385510 | bam | 163.7 GB | ||
| EGAF00002385511 | bam | 159.9 GB | ||
| EGAF00002385512 | bam | 160.4 GB | ||
| EGAF00002385513 | bam | 131.6 GB | ||
| EGAF00002385514 | bam | 146.0 GB | ||
| EGAF00002385515 | bam | 194.4 GB | ||
| EGAF00002385516 | bam | 205.4 GB | ||
| EGAF00002385517 | bam | 194.1 GB | ||
| EGAF00002385518 | bam | 7.1 GB | ||
| EGAF00002385519 | bam | 6.4 GB | ||
| EGAF00002385520 | bam | 6.1 GB | ||
| EGAF00002385521 | bam | 7.4 GB | ||
| EGAF00002385522 | bam | 7.1 GB | ||
| EGAF00002385523 | bam | 6.7 GB | ||
| EGAF00002385524 | bam | 6.9 GB | ||
| EGAF00002385525 | bam | 6.5 GB | ||
| EGAF00002385526 | bam | 7.6 GB | ||
| EGAF00002385527 | bam | 7.2 GB | ||
| EGAF00002385528 | bam | 6.9 GB | ||
| EGAF00002385529 | bam | 7.5 GB | ||
| EGAF00002385530 | bam | 9.0 GB | ||
| EGAF00002385531 | bam | 133.8 GB | ||
| EGAF00002385532 | bam | 7.7 GB | ||
| EGAF00002385533 | bam | 8.5 GB | ||
| EGAF00002385534 | bam | 7.5 GB | ||
| EGAF00002385535 | bam | 7.1 GB | ||
| 27 Files (1.7 TB) | ||||