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. 2021 Mar 2;19(1):1–12. doi: 10.1016/j.gpb.2020.10.005

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© 2021 The Authors. Published by Elsevier B.V. and Science Press on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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Main contents of CGGA database and the functionality of WEseq analysis

A. CGGA contains whole-exome sequencing, mRNA and microRNA expression, DNA methylation data, clinical data, and several analysis modules. B. The web image in the WEseq analysis page to search the OncoPrint and prognostic value of target genes. C. The mutation profile in all glioma samples included (in the ‘WEseq_286’ dataset). D. Survival analysis of primary LGG patients with IDH1 mutation. Left: the plot for overall survival of primary LGG patients with wildtype or mutant IDH1 (in the ‘WEseq_286’ dataset); middle: the data used to generate the plot; right: the R code used to generate the plot. LGG, lower-grade glioma; GBM, glioblastoma; A, astrocytoma; O, oligodendroglioma; OA, oligo‐astrocytoma; AOA, anaplastic oligo-astrocytoma; AA: anaplastic astrocytoma; rGBM: recurrent glioblastoma; rAA, recurrent anaplastic astrocytoma; rA, recurrent astrocytoma; AO, anaplastic oligodendroglioma; rAO, recurrent anaplastic oligodendroglioma; rO, recurrent oligodendroglioma; rAOA, recurrent anaplastic oligo‐astrocytoma.