RNASeq on HiSeq platform of 29 pancreatic neuroendocrine cases
BAM outputs from RSEM (https://deweylab.github.io/RSEM/) analysis of RNASeq sequencing on HiSeq platform of tumour samples from 29 pancreatic neuroendocrine cases.
- 15/05/2017
- 29 samples
- DAC: EGAC00001000010
ICGC Data Access
Please use the ICGC website for applying for access to the data: https://ega-archive.org/dacs/EGAC00001000010
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 |
|---|---|---|
| EGAS00001001732 | 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 | |
|---|---|---|---|---|
| EGAF00001643132 | bam | 10.3 GB | ||
| EGAF00001643133 | bam | 8.4 GB | ||
| EGAF00001643134 | bam | 7.1 GB | ||
| EGAF00001643135 | bam | 8.6 GB | ||
| EGAF00001643136 | bam | 3.5 GB | ||
| EGAF00001643137 | bam | 8.7 GB | ||
| EGAF00001643138 | bam | 12.6 GB | ||
| EGAF00001643139 | bam | 13.6 GB | ||
| EGAF00001643140 | bam | 4.9 GB | ||
| EGAF00001643141 | bam | 19.2 GB | ||
| EGAF00001643142 | bam | 11.0 GB | ||
| EGAF00001643143 | bam | 3.4 GB | ||
| EGAF00001643144 | bam | 6.0 GB | ||
| EGAF00001643145 | bam | 7.7 GB | ||
| EGAF00001643146 | bam | 7.0 GB | ||
| EGAF00001643147 | bam | 9.1 GB | ||
| EGAF00001643148 | bam | 4.2 GB | ||
| EGAF00001643149 | bam | 9.9 GB | ||
| EGAF00001643150 | bam | 5.7 GB | ||
| EGAF00001643151 | bam | 8.3 GB | ||
| EGAF00001643152 | bam | 9.9 GB | ||
| EGAF00001643153 | bam | 8.0 GB | ||
| EGAF00001643154 | bam | 12.3 GB | ||
| EGAF00001643155 | bam | 10.0 GB | ||
| EGAF00001643156 | bam | 6.5 GB | ||
| EGAF00001643157 | bam | 11.7 GB | ||
| EGAF00001643158 | bam | 5.5 GB | ||
| EGAF00001643159 | bam | 9.8 GB | ||
| EGAF00001643160 | bam | 5.0 GB | ||
| 29 Files (247.9 GB) | ||||