Visualization of Biological Data-Crossroads (Dagstuhl Seminar 18161)

Abstract

Our ability to generate and collect biological data has accelerated significantly in the past two decades. In response, many novel computational and statistical analysis techniques have been developed to process and integrate biological data sets. However, in addition to computational and statistical approaches, visualization techniques are needed to enable the interpretation of data as well as the communication of results. The design and implementation of such techniques lies at the intersection of the biology, bioinformatics, and data visualization fields. The purpose of Dagstuhl Seminar 18161 "Visualization of Biological Data-Crossroads" was to bring together researchers from all three fields, to identify opportunities and challenges, and to develop a path forward for biological data visualization research. Seminar April 15-20, 2018-http://www.dagstuhl.de/18161 License Creative Commons BY 3.0 Unported license 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. Except where otherwise noted, content of this report is licensed under a Creative Commons BY 3.0 Unported license