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Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering

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2014

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Gesellschaft für Informatik e.V.

Zusammenfassung

Web browsers and web applications have become common tools in bioinformatics over the past decades. Many existing web applications revolve around server-client interaction, where heavy computational tasks are often outsourced to the server and the presentation is handled on the the client-side. However more recent additions to the web browser technology embrace the capability of handling more complex operations on the client-side itself, cutting out most of the server-client interaction except for data loading. This paper contributes to the exploration of the potential of approaches to implement and speed up computational expensive tasks, like image cluster analysis, within a client-side web browser environment. The experimental results, incorporating the well known k-means algorithm which serves as a platform for various parallelization approaches, indicate the possibility to achieve real time image clustering. Especially for the available MALDI-MSI data set the results look promising. Despite good results of multithreading approaches, algorithmic approaches appear to be relevant too. Therefore advancements in accelerating the k-means algorithm itself are considered.

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Rathke, Magnus; Kölling, Jan; Nattkemper, Tim W. (2014): Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering. German conference on bioinformatics 2014. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-629-9. pp. 44-53. Bielefeld. 28. September - 1. October 2014

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