UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses

• DOI: 10.1016/j.neo.2017.05.002
• Publication Date: 2017-07-18T04:00:39Z
• Authors: Darshan S. Chandr...; Bhuwan Bashel; Sai Akshaya Hodig...; Chad J. Creighton; Israel Ponce-Rodr...; Balabhadrapatruni...; Sooryanarayana Va...
• Keywords: Liver Cancer

Genomics data from The Cancer Genome Atlas (TCGA) project has led to the comprehensive molecular characterization of multiple cancer types. large sample numbers in TCGA offer an excellent opportunity address questions associated with tumo heterogeneity. Exploration by researchers and clinicians is imperative unearth novel therapeutic/diagnostic biomarkers. Various computational tools have been developed aid carrying out specific analyses; however there need for resources facilitate study gene expression variations survival associations across tumors. Here, we report UALCAN, easy use, interactive web-portal perform in-depth analyses data. UALCAN uses level 3 RNA-seq clinical 31 portal's user-friendly features allow perform: 1) analyze relative a query gene(s) tumor normal samples, as well various sub-groups based on individual stages, grade, race, body weight or other clinicopathologic features, 2) estimate effect patient survival; 3) identify top over- under-expressed (up down-regulated) genes This resource serves platform silico validation target identifying sub-group candidate Thus, could be extremely helpful accelerating research. publicly available at http://ualcan.path.uab.edu.