A0535
Title: R/Shiny web applications for making gene expression data accessible to non-bioinformaticians
Authors: Garrett Dancik - Eastern Connecticut State University (United States) [presenting]
Abstract: Repositories such as the Gene Expression Omnibus (GEO) and the Genomic Data Commons contain gene expression profiles for millions of samples. Yet, the retrieval and analysis of this data is difficult without bioinformatics and statistical expertise. Several web applications are described to facilitate the analysis of gene expression data. ShinyGEO is a web application that allows users to download gene expression data sets directly from GEO, select a gene of interest, and carry out differential expression and survival analyses with customizable graphics. The Bladder Cancer Biomarker Evaluation Tool (BC-BET) allows for rapid evaluation of candidate diagnostic and prognostic gene expression biomarkers in 15 bladder cancer patient cohorts (N = 1559). Ongoing development of a similar Acute Myeloid Leukemia Biomarker Evaluation Tool will also be described, with an emphasis on the importance of data processing and analysis using robust statistical methods. The availability of these tools makes gene expression data accessible to non-bioinformaticians, promising to lead to a better understanding of biological processes and genetic diseases such as cancer.
