GanScreen

GanScreen is a software tool designed for the analysis of genomic data, specifically focusing on gene expression and its correlation with clinical outcomes. Developed by researchers at the Broad Institute, it aims to provide a user-friendly interface for exploring large-scale genomic datasets. The platform integrates various types of genomic information, such as RNA sequencing and copy number variations, allowing users to investigate the relationship between genetic alterations and disease phenotypes.

The primary function of GanScreen is to facilitate the identification of potential biomarkers and therapeutic targets. Users can upload their own data or utilize publicly available datasets within the platform. Through interactive visualizations and statistical analyses, GanScreen enables researchers to identify genes or pathways that are differentially expressed or altered in specific disease conditions or patient subgroups. It also supports survival analysis to assess the prognostic significance of genetic features.

GanScreen is particularly useful for researchers in cancer genomics and precision medicine. Its ability to integrate diverse genomic data types and link them to clinical information streamlines the discovery process. The tool is intended to be accessible to individuals with varying levels of bioinformatics expertise, offering both pre-defined analysis pipelines and options for more customized investigations. The ongoing development of GanScreen focuses on expanding its analytical capabilities and integrating new datasets to support a wide range of genomic research questions.