The New UCSC Cancer Genomics Browser

Brian Craft, Teresa Swatloski, Mary Goldman, Kyle Ellrott, Singer Ma, Chris Wilks, Josh Stuart, David Haussler, Jing Zhu

The UCSC Cancer Genomics Browser is a web-based tool to integrate, visualize and analyze cancer genomics and clinical data. Users can order, filter, aggregate, classify, and display data interactively based on any given feature set including clinical features, genomic signatures/profiles, annotated biological pathways, and user-contributed collections of genes. Integrated standard statistical tools provide dynamic quantitative analysis within all available datasets. A new UCSC Cancer Genomics Browser was released July 2012 with immensely enhanced user interface and functionality, new user documentations, and an updated online tutorial.

BioVis 2012 Information

The New UCSC Cancer Genomics BrowserUser-guided Segmentation of Thoracic Computed Tomography Data for Electrical Impedance Tomography Image ReconstructionVisualization and Exploration of 3D Toponome DataTractography in Context: Multimodal Visualization of Probabilistic Tractograms in Anatomical ContextUsing a Mathematical Graph Framework for Visualization of Inheritance Patterns in Commercial Plant PedigreesExtending The Grammar of Graphics for Biological Data VisualizationcompreheNGSive: A Tool for Exploring Next-Gen Sequencing VariantsMedSavant: Visual Analytics for Genetic Variation DatasetsBulk Synchronous VisualizationGetting Into Visualization of Large Biological Data SetsAracari: exploration of eQTL data through visualizationAn Abstract View of Associations Between Diseases and Developmental Gene SetsCan Adjacency Matrices help in the exploration and understanding of Multi-Omics Data?StratomeX: Enabling Visualization-Driven Cancer Subtype AnalysisGenomeRing: alignment visualization based on SuperGenome coordinatesScalable Interactive Analysis of Retinal Astrocyte NetworksVisual Analysis of Genome-wide Tracts of Homozygosity