Data and analysis of the cancer genome atlas
10.3969/j.issn.1000-8179.20130649
- VernacularTitle:癌症基因组图谱计划数据及分析
- Author:
Zhenxiang DENG
;
Jinming LI
- Publication Type:Journal Article
- Keywords:
cancer genome atlas;
data category;
data analysis;
data mining
- From:
Chinese Journal of Clinical Oncology
2014;(5):349-353
- CountryChina
- Language:Chinese
-
Abstract:
Multiple chromosomal aberrations, nucleotide substitutions, and epigenetic modifications may occur in human cancer cells, which drive malignant transformation. The Cancer Genome Atlas (TCGA) project aims to promote large-scale multi-dimensional analysis of these molecular characteristics in human cancer and rapidly provide data to researchers. In this study, we introduce four flow paths of the production of TCGA data, the collections of various cancer types, the data category and level, and the standardized pipeline of data analysis, as well as several existing data analytical tools. We used ovarian cancer as an example to introduce the application of the TCGA data in the analyses of mutation, copy number, analysis, and expression. We summarized the important findings of glioblasto-ma by TCGA teams.
