Coral: a web-based visual analysis tool for creating and characterizing cohorts

Abstract

Summary: A main task in computational cancer analysis is the identification of patient subgroups (i.e., cohorts) based on metadata attributes (patient stratification) or genomic markers of response (biomarkers). Coral is a web-based cohort analysis tool that is designed to support this task: Users can interactively create and refine cohorts, which can then be compared, characterized, and inspected down to the level of single items. We visualize the evolution of cohorts and also provide intuitive access to prevalence information. Coral can be utilized to explore any type of cohort and sample set. Here, we focus on the analysis of genomic data from cancer patients and therefore included in the public version data from the AACR Project GENIE, The Cancer Genome Atlas, and the Cell Line Encyclopedia. Availability and Implementation: Coral is publicly available at https://coral.caleydoapp.org. The source code is released at https://github.com/Caleydo/coral.

Iguanodon: A Code-Breaking Game for Improving Visualization Construction Literacy

“…We included the visualization literacy test and the participants' results in the supplementary material [47].…”