Feature-Centric Visual Exploration of Genome Interaction Maps

Venue: ISMB 2018 in Chicago
Session: BioVis

Transcript

1. Feature-Centric Visual Exploration of Genome Interaction Maps Fritz Lekschas, PhD candidate
 Harvard University Benjamin Bach, Peter Kerpedjiev, Michael Behrisch, Nils Gehlenborg, and Hanspeter Pfister July 9th, 2018 ISMB 2018
2. Cell Nucleus Contact Sequencing Heatmap 3D GENOME
3. Gene regulation: Enhancer-promoter Structural variation: Break points Cell dynamics: Differentiation Cell cycle WHY CARE?
4. 3 million × 3 million
5. PATTERNS
6. CHALLENGES • Size of the heatmap • Many called features • No ground truth GOALS • Quality control • Pattern discovery • Pattern correlation CHALLENGES
12. Efficiency Show all insets
 Close to origin Minimize occlusion Show all insets
13. Efficiency Show all insets
 Close to origin Minimize occlusion Close to origin
14. Efficiency Show all insets
 Close to origin Minimize occlusion Minimize occlusion
16. Performance comparison in pattern search on images and genome interaction maps User study: 18 participants and 6 domain experts Techniques: Results: faster pattern search
 more accurate pattern comparison
 easy-to-learn & easy-to-use EVALUATION
17. CONCLUSION Explore local features in spatial context Faster pattern search Improved navigation
18. Thank You! MORE INFORMATION scalable-insets.lekschas.de SOURCE CODE github.com/flekschas/higlass-scalable-insets CONTACT lekschas@seas.harvard.edu @flekschas lekschas.de POSTER: B-765