Program BioVis@ISMB

BioVis@ISMB 2018 Program

July 9, 2018 (room Columbus IJ)

The symposium will be a one-day single-track event at ISMB (room Columbus IJ). The event will feature keynote and invited talks, paper sessions, highlight talks, workshops, and posters.

10:15 - 10:20
BioVis Welcome
Marc Streit

10:20 - 12:40
1st Session
Session Chair: Marc Streit
10:20 - 11:20
[Keynote] 0ne successful data exploration—many explanations
Authors: Martin Krzywinski
11:20 - 11:40
[Full Paper] NeuroMorphoVis: a collaborative framework for visualization and analysis of neuronal morphology skeletons reconstructed from microscopy stacks
Authors: Marwan Abdellah, Juan Hernando, Stefan Eilemann, Nicolas Antille, Samuel Lapere, Henry Markram and Felix Schürmann
11:40 - 11:50
[Abstract] starmap: Immersive visualisation of single cell data using smartphone-enabled virtual reality
Authors: Andrian Yang, Yu Yao, Jianfu Li and Joshua Ho
11:50 - 12:00
[Abstract] Interactive Visual Analysis of Mass Cytometry Data by Hierarchical Stochastic Neighbor Embedding Reveals Rare Cell Types
Authors: Thomas Höllt, Vincent van Unen, Nicola Pezzotti, Na Li, Marcel J.T Reinders, Elmar Eisemann, Frits Koning, Anna Vilanova and Boudewijn P.F. Lelieveldt
12:00 - 12:10
[Abstract] Visual Analysis of Enzyme-Substrate Interactions
Authors: Karsten Schatz, Michael Krone, Valerio Ferrario, Jürgen Pleiss and Thomas Ertl
12:10 - 12:20
[Abstract] BioBlox – A suite of computer games for protein docking for crowd-sourcing scientific solutions and education via mobiles and virtual reality
Authors: Pedro Quijada Leyton Quijada Leyton, Ioannis Filippis Filippis, Elio de Berardinis, Federico Soncini, Ciaran Wilson, Suhail A Islam, Pablo Larenas Larenas, Alessia David, Richard Leinfellner, Andy Thomason, William Latham, Frederic Fol Leymarie and Michael J E Sternberg
12:20 - 12:30
[Abstract] Visualization methods for RNA-sequencing data analysis
Authors: Lindsay Rutter and Dianne Cook
12:30 - 12:40
[Abstract] HebbPlot: A new tool for visualizing histone signatures
Authors: Alfredo Velasco Ii and Hani Z. Girgis

2:00 - 4:00
2nd Session
Session Chair: G. Elisabeta Marai
2:20 - 3:00
[Keynote] The Changing Nature of Collaboration in Visualization
Authors: Sheelagh Carpendale
3:00 - 3:20
[Full Paper] The Kappa platform for rule-based modeling
Authors: Pierre Boutillier, Mutaamba Maasha, Xing Li, Hector Medina-Abarca, Jean Krivine, Jerome Feret, Ioana Cristescu, Angus Forbes and Walter Fontana
3:20 - 3:30
[Abstract] Feature-Centric Visual Exploration of Genome Interaction Maps
Authors: Fritz Lekschas, Benjamin Bach, Peter Kerpedjiev, Michael Behrisch, Nils Gehlenborg and Hanspeter Pfister
3:30 - 3:40
[Abstract] Scaling Up the Genome Browser
Authors: Danielle Nguyen, Peter Kerpedjiev and Nils Gehlenborg
3:40 - 3:50
[Abstract] PopNetD3: An accessible web tool for the analysis and visualization of population structure
Authors: Javi Zhang and John Parkinson
3:50 - 4:00
[Abstract] MecCog: A framework for representing human genetic disease mechanisms
Authors: Kunal Kundu, Lipika R. Pal, Lindley Darden and John Moult

4:40 - 5:50
3rd Session
Session Chair: Kay Nieselt
4:40 - 5:20
[Invited talk] Mining Gems from the Data Visualization Literature
Authors: Nils Gehlenborg
5:20 - 5:30
[Abstract] MaizeDIG: A mechanism for connecting gene models to phenotypes at MaizeGDB
Authors: Kyoung Tak Cho, John Portwood Ii, Elisabeth Harper, Jack Gardiner, Carolyn Lawrence-Dill, Iddo Friedberg and Carson Andorf
5:30 - 5:40
[Abstract] D3Oncoprint: Standalone software to visualize and dynamically explore annotated genomic mutation files
Authors: Alida Palmisano, Yingdong Zhao and Richard Simon
5:40 - 5:50
[Abstract] Visualization of Longitudinal Cancer Genomics Data
Authors: Theresa Anisja Harbig, Sabrina Nusrat, Alexander Thomson, Hans Bitter, Tali Mazor, Ethan Cerami and Nils Gehlenborg

5:50 - 6:00
Closing Remarks
Kay Nieselt

6:00 - 7:00
Poster Session

Invited Speakers

0ne successful data exploration—many explanations
Martin Krzywinski, Michael Smith Genome Science Centre
Abstract: Without good practices in data exploration, we cannot have answers. Without good design practices, we cannot have good explanations of these answers. This is confounded by the fact that most answers are neither self-explanatory nor immediately obviously correct and as such their reception and impact is directly related to the quality of the explanation. By now, most of us are familiar with the guidelines for visualization and the many human perception studies that can help us make good choices in encodings, colors, and type. The principles that underpin these choices are now generally well accepted and implemented in many applications. But although it is now easy to make a pile of plots, it is generally very challenging to determine how to sort through the pile to select and order a set for an engaging and expository data presentation. The process of design, which is a kind of choreography for the page, can be of great help in assembling individual data visualizations into a cohesive explanation across many levels of detail. In the same way that visualizations are a way to organize data, design is a way to organize visualizations. I will share with you my experiences in combining science, visualization and design to create explanations, promote engagement, inspire imagination and, where possible, provide visual support in the often vexing process of research.
Bio: Martin Krzywinski is known for his work in bioinformatics, data visualization and the interface of science and art. He applies design, both data and artistic, to assist discovery, explanation and engagement with scientific data and concepts. His information graphics have appeared in the New York Times, Wired, Scientific American and covers of numerous books and scientific journals such as Nature and Genome Research.

The Changing Nature of Collaboration in Visualization
Sheelagh Carpendale, University of Calgary
Abstract: As a visualization researcher, one is practically always collaborating. That is, we, who focus on visualizing data, generally do not generate data. Thus, we collaborate with those people who do generate data. Over the years, I have had many different collaboration experiences. Through these experiences, I have learned much - not only about different types of data but also about different types of collaboration. I will recount some of these collaboration variations, discussing how different ways of collaborating have led to different types of results. In particular, I am increasingly interested in immersive or trans-disciplinary collaboration and think that it is important for our research communities to more fully support these extensive collaborations.
Bio: Sheelagh Carpendale is a Full Professor at the University of Calgary where she holds a Tier 1 Canada Research Chair in Information Visualization and an NSERC/AITF/SMART Industrial Research Chair in Interactive Technologies. She has many received awards including the E.W.R. NSERC STEACIE (a major national science award), a BAFTA (British equivalent of an Oscar); the Alberta ASTech Award, the Canadian Human Computer Communications Society Achievement Award, and was featured in Canada’s Science, Technology and Innovation Council - State of the Nation 2012 - report. Dr. Carpendale directs the Innovations in Visualization (InnoVis) research group and initiated the interdisciplinary graduate program, Computational Media Design. She is an internationally renowned leader in both information visualization and large display interaction. Her research focuses on information visualization, interaction design, and qualitative empirical research. By studying how people interact with information both in work and social settings, she works towards designing more natural, accessible and understandable interactive visual representations of data. She combines information visualization, visual analytics and human-computer interaction with innovative new interaction techniques to better support the everyday practices of people who are viewing, representing, and interacting with information.