Study
Multi Omics of glioma in the the Chinese Glioma Genome Atlas (CGGA) project
Study ID | Alternative Stable ID | Type |
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EGAS00001004729 | Cancer Genomics |
Study Description
Study Datasets 1 dataset.
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 |
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EGAD00001006445 |
Glioma is the most common and aggressive brain cancer in adults. While primary glioma has been widely studied, molecular characterization of recurrent glioma is still rare. The high-quality sequencing data that we generated provides a useful resource for the community. The CGGA project contains over 2,000 samples from Chinese cohorts. It totally includes the whole-exome sequencing (286), DNA methylation (159), mRNA sequencing (1,018), mRNA microarray (301) and microRNA microarray (198) and ... (Show More)
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Illumina HiSeq 2000 | 572 |
Who archives the data?
