School of Life Sciences, BIOPIC and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Analytical Biosciences Limited, Beijing, China.
Nucleic Acids Res. 2021 Jul 2;49(W1):W242-W246. doi: 10.1093/nar/gkab418.
In 2017, we released GEPIA (Gene Expression Profiling Interactive Analysis) webserver to facilitate the widely used analyses based on the bulk gene expression datasets in the TCGA and the GTEx projects, providing the biologists and clinicians with a handy tool to perform comprehensive and complex data mining tasks. Recently, the deconvolution tools have led to revolutionary trends to resolve bulk RNA datasets at cell type-level resolution, interrogating the characteristics of different cell types in cancer and controlled cohorts became an important strategy to investigate the biological questions. Thus, we present GEPIA2021, a standalone extension of GEPIA, allowing users to perform multiple interactive analysis based on the deconvolution results, including cell type-level proportion comparison, correlation analysis, differential expression, and survival analysis. With GEPIA2021, experimental biologists could easily explore the large TCGA and GTEx datasets and validate their hypotheses in an enhanced resolution. GEPIA2021 is publicly accessible at http://gepia2021.cancer-pku.cn/.
2017 年，我们发布了 GEPIA（基因表达谱分析交互式分析）服务器，以方便基于 TCGA 和 GTEx 项目中大量基因表达数据集的广泛使用分析，为生物学家和临床医生提供了一个方便的工具，以执行全面和复杂的数据挖掘任务。最近，去卷积工具带来了革命性的趋势，可以在细胞类型水平上解析批量 RNA 数据集，研究癌症和对照队列中不同细胞类型的特征成为研究生物学问题的重要策略。因此，我们推出了 GEPIA2021，这是 GEPIA 的一个独立扩展，允许用户根据去卷积结果进行多种交互式分析，包括细胞类型水平比例比较、相关分析、差异表达和生存分析。有了 GEPIA2021，实验生物学家可以轻松探索大型 TCGA 和 GTEx 数据集，并以增强的分辨率验证他们的假设。GEPIA2021 可在 http://gepia2021.cancer-pku.cn/ 上公开访问。
