Biostatistics and Bioinformatics Applications for Cancer Research

• Integrated Genomic Analysis of:
  • Genes using GISPA
  • Samples using SISPA
  • Gene Outliers using G-OPEA
• Clustering Analysis with NOJAH
• Supervised Principle Component Analysis with GAC
• Survival Analysis with CASAS
• Exploratory Analysis with shinyEA
• ShinyREL shinyREL

Bioinformatics & Biostatistics Tools for Cancer Research

Winship Biostatistics and Bioinformatics Shared Resource (BBISR) is pleased to announce biostatistics and bioinformatics application tools that we developed for cancer research. They are intended to equip investigators with tools to enable efficient data mining that will help in formulating a specific research question to then engage resources and others on how best to address it. The tools cover topics including: integrated genomic data analysis, survival analysis of early vs. later and landmark times, genome-wide heatmap analysis (yes, analysis, not simply heatmap construction), ensemble gene outlier analysis, boxplot jitters and beeswarms, defining tumors with a molecular signature, and more! These and other menu-driven tools developed by BBISR are available by clicking on the left side menu.