Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Feature-Centric Visual Exploration of Genome In...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Fritz Lekschas
July 09, 2018
Science
3.9k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Feature-Centric Visual Exploration of Genome Interaction Maps
Venue: ISMB 2018 in Chicago
Session: BioVis
Fritz Lekschas
July 09, 2018
More Decks by Fritz Lekschas
See All by Fritz Lekschas
Data Visualization Tools in the Age of AI
flekschas
0
160
Effective and Comparative Methods for Single-Cell Embedding Visualizations
flekschas
0
110
The Insight's in the Details: Challenges and Opportunities for BioVis Software Tools
flekschas
0
97
Interactive Exploration of Large-Scale Datasets with Jupyter-Scatter
flekschas
0
140
Self-Intro
flekschas
0
100
A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling
flekschas
0
140
Interactive Visual Pattern Search in Epigenomic Data with Peax: NIH ENCODE presentation
flekschas
0
5.4k
JavaScript Web Application Frameworks
flekschas
0
380
Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets
flekschas
0
3.2k
Other Decks in Science
See All in Science
データベース04: SQL (1/3) 単純質問 & 集約演算
trycycle
PRO
0
1.5k
MATSUO Makiko
genomethica
0
150
ITTF卓球世界ランキングのポイント比を用いた試合結果予測モデルの性能評価 / Performance evaluation of match result prediction models using the point ratio of the ITTF Table Tennis World Ranking
konakalab
0
130
ダメな自分の育て方―性格タイプの「劣等機能」から理解するニガテ克服術
ppillc
0
170
フィードフォワードニューラルネットワークを用いた記号入出力制御系に対する制御器設計 / Controller Design for Augmented Systems with Symbolic Inputs and Outputs Using Feedforward Neural Network
konakalab
0
140
なぜ21は素因数分解されないのか? - Shorのアルゴリズムの現在と壁
daimurat
0
460
機械学習 - ニューラルネットワーク入門
trycycle
PRO
0
1.1k
データベース01: データベースを使わない世界
trycycle
PRO
1
1.3k
データベース09: 実体関連モデル上の一貫性制約
trycycle
PRO
0
1.3k
Bリーグのショットデータを活用した得点期待値モデルの構築 / Construction of expected points model using shot data of B.LEAGUE
konakalab
0
150
[NLP2026 参加報告会] AI for Science まとめ / NLP2026
lychee1223
0
1.9k
見上公一.pdf
genomethica
0
150
Featured
See All Featured
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
140
Building a Scalable Design System with Sketch
lauravandoore
463
34k
HDC tutorial
michielstock
2
720
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
320
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3.2k
Ruling the World: When Life Gets Gamed
codingconduct
0
260
It's Worth the Effort
3n
188
29k
Visualization
eitanlees
152
17k
YesSQL, Process and Tooling at Scale
rocio
174
15k
KATA
mclloyd
PRO
35
15k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.7k
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
540
Transcript
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
Cell Nucleus Contact Sequencing Heatmap 3D GENOME
Gene regulation: Enhancer-promoter Structural variation: Break points Cell dynamics: Differentiation
Cell cycle WHY CARE?
3 million × 3 million
PATTERNS
CHALLENGES • Size of the heatmap • Many called features
• No ground truth GOALS • Quality control • Pattern discovery • Pattern correlation CHALLENGES
None
None
None
None
None
Efficiency Show all insets Close to origin Minimize occlusion Show
all insets
Efficiency Show all insets Close to origin Minimize occlusion Close
to origin
Efficiency Show all insets Close to origin Minimize occlusion Minimize
occlusion
None
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
CONCLUSION Explore local features in spatial context Faster pattern search
Improved navigation
Thank You! MORE INFORMATION scalable-insets.lekschas.de SOURCE CODE github.com/flekschas/higlass-scalable-insets CONTACT
[email protected]
@flekschas lekschas.de POSTER: B-765