TCGA4U: A Web-Based Genomic Analysis Platform To Explore And Mine TCGA Genomic Data For Translational Research.
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.
College of Biomedical Engineering and Instrument Science, Zhejiang University, China.
Zhenzhen
Z
Huang
College of Biomedical Engineering and Instrument Science, Zhejiang University, China.
Huilong
H
Duan
The Children's Hospital, Zhejiang University, China.
Haomin
H
Li
D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems / Q000458:organization & administration; D030541:Databases, Genetic; D023281:Genomics / Q000458:organization & administration; D006801:Humans; D020407:Internet / Q000458:organization & administration*; D009369:Neoplasms / Q000235:genetics*; D012984:Software; D057170:Translational Research, Biomedical / Q000458:organization & administration*; D014584:User-Computer Interface