compreheNGSive: A Tool for Exploring Next-Gen Sequencing Variants

Alex Bigelow, Miriah Meyer, Nicola Camp

In this design study we are collaborating with a group of genetic epidemiology experts who are using NGS data to study breast cancer. To understand our collaborators’ analysis needs we worked with this group for a year, spending four days a week in their lab. From numerous interviews, we developed over ten paper prototypes, five software prototypes, and acquired feedback. Analyzing this feedback revealed necessary visualization tasks and a workflow applicable to their data exploration. Our contributions are an articulation of a workflow and set of visualization tasks needed by our collaborators, and an early prototype of our system: compreheNGSive.

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