http://www.dagstuhl.de/18161

April 15 – 20 , 2018, Dagstuhl Seminar 18161

Visualization of Biological Data - Crossroads

Organizers

Jan Aerts (KU Leuven, BE)
Nils Gehlenborg (Harvard University, US)
Georgeta Elisabeta Marai (University of Illinois – Chicago, US)
Kay Katja Nieselt (Universität Tübingen, DE)

For support, please contact

Annette Beyer for administrative matters

Michael Gerke for scientific matters

Documents

Dagstuhl Seminar Schedule (Upload here)

(Use seminar number and access code to log in)

Motivation

The rapidly expanding application of experimental high-throughput and high-resolution methods in biology is creating enormous challenges for the visualization of biological data. To meet these challenges, a large variety of expertise from the visualization, bioinformatics and biology domains is required. These encompass visualization and design knowledge, algorithm design, strong implementation skills for analyzing and visualizing big data, statistical knowledge, and specific domain knowledge for different application problems. In particular, it is of increasing importance to develop powerful and integrative visualization methods combined with computational analytical methods. Furthermore, because of the growing relevance of visualization for bioinformatics, teaching visualization should also become part of the bioinformatics curriculum.

With this Dagstuhl Seminar we want to continue the process of community building across the disciplines of biology, bioinformatics, and visualization. We aim to bring together researchers from the different domains to discuss how to continue the BioVis interdisciplinary dialogue, to foster the development of an international community, to discuss the state-of-the-art and identify areas of research that might benefit from joint efforts of all groups involved.

Thus during the seminar we envision to address the following topics:

  • Challenges in the integrative and visual analysis of high-dimensional and complex medicine data
  • Visual analysis of stochastic biological networks
  • Beyond genomes: visual representations of metagenomes and pangenomes
  • On the BioVis crossroads: Continued collaborations between the visualization and bioinformatics communities
  • Designing a curriculum for teaching visualization in bioinformatics

While emphasis of topics is put on different, highly challenging problems in biology, it is also envisioned to identify newly needed visualization paradigms and developments that can help to solve these challenges. Thus further topics may be added, depending on the specific interest of the participants.

As one outcome of the seminar, we plan to summarize the results in a white paper, in which the computational, the visualization and the application domain aspects are collected and published to not only ensure that a broad audience is reached but also that our crossroads journey may continue.

License
  Creative Commons BY 3.0 DE
  Jan Aerts, Nils Gehlenborg, Georgeta Elisabeta Marai, and Kay Nieselt

Related Dagstuhl Seminar

Classification

  • Bioinformatics
  • Data Structures / Algorithms / Complexity

Keywords

  • Visualisation
  • Visual Analytics
  • Sequence analysis
  • Omics
  • Imaging

Book exhibition

Books from the participants of the current Seminar 

Book exhibition in the library, ground floor, during the seminar week.

Documentation

In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.

 

Download overview leaflet (PDF).

Publications

Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.

NSF young researcher support