Abstract
Visual representation of complex data reveals the motifs and patterns, which cannot be easily understood by basic statistical approaches. However, in case of the analysis of real data, the phenomenon of interest usually involves many parameters and a researcher needs many different plots to visualize the different aspects of analysis results. In addition, current paradigm of visualization is based on displaying static images on a 2D surface. It might be a computer screen, a wall, a piece of paper, or any kind of material that provides a support for the image.
A solution for displaying complex data visualizations is to make visualization interactive through a computer or a smart device. This gives user much more flexibility for looking at different aspects of the data with little effort. There are many standalone software for specific visualization purposes such as Cytoscape and Gephi for network visualization whereas standalone software has some serious limitations for interaction flexibility and sharing the visualizations. Web technologies provide a great deal of opportunity for interactive data visualization and among many JavaScript library alternatives, D3 is well ahead (1). D3 is a JavaScript library (2) that allows programmers to modify and transform any part of a web page and associate HTML elements with data. This results in interactive and dynamic graphs with a very wide range of layout options through a modern browser.
More: http://cellmicrocosmos.org/images/downloads/next2014/Cm_neXt_2014_ahmet_ozturk_abstract__PRE.pdf
References
(1) D. Skau. Why D3.js is So Great for Data Visualization | Visually Blog. (Online). Available: http://blog.visual.ly/why-d3-js-is-so-great-for-data-visualization. (Accessed: 17-Sep-2014).
(2) M. Bostock. D3.js - Data-Driven Documents. (Online). Available: http://d3js.org. (Accessed: 13-Sep-2014).
Topics: Introduction to Web Technologies
Time Schedule
First Meeting: Monday, 22th September, 10 c.t.
Schedule: 10 - 12, 14 - 16 (all week, 22th to 26th September)
Optionale Modul-Anrechnung
Seminar zum neuen Modul: Interdisziplinäre ZellVisualisierung für Naturwissenschaftliche Informatik, Bioinformatik und Genomforschung, Molekulare Biotechnologie, Medienwissenschaften, Medieninformatik und Gestaltung
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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39-Inf-IZV Interdisziplinäre ZellVisualisierung | Cell Visualization | Study requirement
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
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Bioinformatik und Genomforschung / Master | (Enrollment until SoSe 2012) | Individueller Ergänzungsb | Wahl | 2. | 2 | ||
Medieninformatik und Gestaltung / Bachelor | (Enrollment until SoSe 2011) | Wahlpflicht MedInform I; Wahlpflicht MedInform II | Wahlpflicht | 2 | benotet | ||
Medienwissenschaft, interdisziplinäre / Master | (Enrollment until SoSe 2014) | Hauptmodul 4 | Wahlpflicht | 2 | |||
Molekulare Biotechnologie / Master | (Enrollment until SoSe 2012) | Spezialisierung Biologie/Bio | Wahlpflicht | 2 | |||
Molekulare Biotechnologie / Master | (Enrollment until SoSe 2012) | Individuelle Ergänzung | Wahl | 2. | 2 | benotet | |
Naturwissenschaftliche Informatik / Master | (Enrollment until SoSe 2012) | Vertiefung Informatik I | Wahlpflicht | 2. | |||
Naturwissenschaftliche Informatik / Master | (Enrollment until SoSe 2012) | Individuelle Ergänzung | Wahl | 2 |
This block seminar will take place during two weeks: 21.9. - 1.10.2014. It will be organized as a workshop and will be held in English language.