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Visualize cancer genomes with FAIR single-cell RNA-seq data

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The-Broad-Institute-Single-Cell-RNA-Seq-Data-Set

Single-cell RNA-seq can be used to infer copy number variations (CNVs). Visualizing CNVs can assist in cancer research.

Our prototype web app reproduces part of a study in Single Cell Portal using the Google Cloud Storage API to fetch inferCNV workflow output as run on Terra. We added authentication and metadata, implementing FAIR principles of accessibility and interoperability. Chromosomes were visualized with Ideogram.js.

Live demo

https://broad.io/single-cell-bioit-2019

Slides

See below or Google Slides for our presentation deck.

Single Cell Portal oligodendroglioma example study

Check out Terra!

Click for live demo

See Terra workspace

DockerHub image we used for inferCNV

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Visualize cancer genomes with FAIR single-cell RNA-seq data

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