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Visualizing single-cell RNA-seq experiments at a life-size scale in 3-D

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hackseq19 - TEAM 15: Virtual and Augmented Reality for Single-Cell Data Exploration.*

Final product website: http://www.singlecellvr.com

http://www.singlecellvr.com

http://www.singlecellvr.com

NOTE: VR Headset device required. Google Cardboard is currently the primarily supported headset for this data visualization software.

Directions

Step 1: Upload your single cell trajectory data in .csv format - this is the default product of the STREAM web tool. singlecellvr.com converts this data into a format built for the VR visualization space. (example data pre-loaded in this vignette).

Step 2: Click the link on your mobile device to open the VR space and explore your data.

Step 3: Interact with your data by using the signature Google Cardboard one-button interface.

Notes on production and Project Description

Goal / Vision:

  • Visualize high-tech single-cell RNA-seq experiments at a life-size scale in 3-D
  • Write software compatible with google cardboard
  • Build a web-tool that allows anyone to upload a simple-format csv and visualize their data immediately - our pre-formatting software converts all data into a format acceptable by VR software

What kind of data and inputs are we exploring?

  • We are exploring any single cell data set that has some inherent trajectory. While we are focusing on available scRNA-seq datasets in this implementation, it is extendable to any data that contains trajectory.

How are we visualizing this?

  • We are writing a suite of virtual reality software that is accessible to the user from our website, www.singlecellvr.com.

Team Leads: Michael Vinyard (@vinyard_m) & Luca Pinello ( @lucapinello & pinellolab.org)

Team Members:

  • Huidong Chen
  • Michelle Crown
  • Alexander Dungate
  • Fatih Karaoglanoglu
  • David Lin
  • Tai-Jiun(Terry) Lin
  • Sepand Dyanatkar Motaghed
  • Mehul Sharma
  • David Stein

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Visualizing single-cell RNA-seq experiments at a life-size scale in 3-D

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