Exome sequencing of short SGA children with IGF-I and insulin resistance
Exome sequencing of short SGA children with IGF-I and insulin resistance. Collaboration with Professor David Dunger, University of Cambridge. Funded by NIHR.
- 28/06/2016
- 15 samples
- DAC: EGAC00001000205
- Technology: Illumina HiSeq 2000
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 |
---|---|---|
EGAS00001001086 | 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 | |
---|---|---|---|---|
EGAF00000827458 | cram | 1.9 GB | ||
EGAF00000827459 | cram | 1.9 GB | ||
EGAF00000827460 | cram | 1.9 GB | ||
EGAF00000827461 | cram | 2.0 GB | ||
EGAF00000827462 | cram | 2.3 GB | ||
EGAF00000827463 | cram | 2.0 GB | ||
EGAF00000827464 | cram | 2.0 GB | ||
EGAF00000827465 | cram | 1.6 GB | ||
EGAF00000827466 | cram | 1.7 GB | ||
EGAF00000827467 | cram | 2.1 GB | ||
EGAF00000827468 | cram | 2.0 GB | ||
EGAF00000827469 | cram | 2.1 GB | ||
EGAF00000827470 | cram | 2.5 GB | ||
EGAF00000827471 | cram | 1.8 GB | ||
EGAF00000827472 | cram | 1.7 GB | ||
EGAF00000836692 | cram | 1.9 GB | ||
EGAF00000836693 | cram | 1.9 GB | ||
EGAF00000836694 | cram | 1.9 GB | ||
EGAF00000836695 | cram | 2.0 GB | ||
EGAF00000836696 | cram | 2.4 GB | ||
EGAF00000836697 | cram | 2.0 GB | ||
EGAF00000836698 | cram | 2.0 GB | ||
EGAF00000836699 | cram | 1.7 GB | ||
EGAF00000836700 | cram | 1.9 GB | ||
EGAF00000836701 | cram | 2.4 GB | ||
EGAF00000836702 | cram | 2.1 GB | ||
EGAF00000836703 | cram | 2.4 GB | ||
EGAF00000836704 | cram | 2.8 GB | ||
EGAF00000836705 | cram | 2.0 GB | ||
EGAF00000836706 | cram | 1.9 GB | ||
30 Files (61.0 GB) |