3D Graph Exploration in Mixed Reality

Immerse yourself in graph exploration in 3D and bring your digital content into real life. Whether an experienced researcher or a beginner graph explorer, HoloGraph allows you to see and interact with graphs in a new and immersive way. HoloGraph is a graph visualization application developed at the Englander Institute for Precision Medicine at Weill Cornell Medicine.

HoloLens Englander Institute for Precision Medicine

Dr. Olivier Elemento (left) alongside with his Ph.D students Neil Madhukar and Katie Gayvert, analyze medical network data (photo courtesy of the Englander Institute for Precision Medicine)

FEATURES 

Holo Graph

Holo Graph helps researchers identify patterns in networks

  • One Drive support to load your own data.
  • Gesture support for graph manipulation (Rotate/Move/Scale).
  • Tap to place support for your graph.
  • Demo Data Cancer gene-drug graph already preloaded as a demo.
  • Supports the GraphML standard.
  • Support for three graph layout algorithms (Kamada Kawai, Fruchterman Reingold, Spring Joints).
  • Physics, individual node selection or full graph manipulation with physics support.

Check our HoloLens video on cancer/drug networks:

Team

Alexandros Sigaras
Alexandros Sigaras
Senior Research Associate in Computational Biomedicine
Andrea Sboner
Andrea Sboner
Director of Informatics and Computational Biology
Karsten Suhre
Karsten Suhre
Professor of Physiology and Biophysics
Olivier Elemento
Olivier Elemento
Director, Englander Institute for Precision Medicine
Sophia Roshal
Sophia Roshal
Software Engineer

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