Multi Omics of glioma in the the Chinese Glioma Genome Atlas (CGGA) project

Study ID Alternative Stable ID Type
EGAS00001004729 Cancer Genomics

Study Description

Study Datasets 1 dataset.

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Dataset ID Description Technology Samples
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)
Illumina HiSeq 2000 572

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