The increasing availability of next-generation sequencing tools has enabled basic and clinical researchers to produce and access omics-level data at an unprecedented level. However, most scientists do not have the training to interpret high-dimensional datasets to their maximum potential.
To directly address this problem, we have designed a simple web-tool to conduct Kaplan-Meier survival analysis, differential gene expression and pathway analysis on the open source TCGA cancer genome datasets.
Our tool is generalizable to any cancer type, is easy to use, and allows for a more precise control of parameters than any other currently available method.
Please contact us if you have any questions or suggestions for improvements Prof. Mitch Levesque, PhD
Link to TCGA Browser: