| Literature DB >> 26262133 |
Zhenzhen Huang1, Huilong Duan1, Haomin Li2.
Abstract
Large-scale human cancer genomics projects, such as TCGA, generated large genomics data for further study. Exploring and mining these data to obtain meaningful analysis results can help researchers find potential genomics alterations that intervene the development and metastasis of tumors. We developed a web-based gene analysis platform, named TCGA4U, which used statistics methods and models to help translational investigators explore, mine and visualize human cancer genomic characteristic information from the TCGA datasets. Furthermore, through Gene Ontology (GO) annotation and clinical data integration, the genomic data were transformed into biological process, molecular function, cellular component and survival curves to help researchers identify potential driver genes. Clinical researchers without expertise in data analysis will benefit from such a user-friendly genomic analysis platform.Entities:
Mesh:
Year: 2015 PMID: 26262133
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630