Study
Childhood Cancer Model Atlas
Study ID | Alternative Stable ID | Type |
---|---|---|
EGAS00001006320 | Other |
Study Description
we establish a single-site collection of 243 cell lines, including 207 paediatric cancer cell lines representing 14 distinct extracranial and brain childhood tumour types. We subjected 164 paediatric cancer cell lines to multi-omic analyses across three dimensions (DNA-sequencing, RNA-sequencing, DNA methylation) to classify them based on clinically relevant molecular subtypes.
Study Datasets 4 datasets.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001009633 |
This dataset has the processed WGS data for the cancer models in CCMA.
|
148 | |
EGAD00001010034 |
This dataset has the raw RNA sequencing data for the cancer models in CCMA.
|
unspecified | 184 |
EGAD00001010035 |
This dataset has the mapped bam files from WGS for the cancer models in CCMA.
|
unspecified | 146 |
EGAD00010002390 |
Paediatric tumour cell models DNA methylation EPIC array
|
EPIC | 151 |
Who archives the data?
