Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering
| dc.contributor.author | Rathke, Magnus | |
| dc.contributor.author | Kölling, Jan | |
| dc.contributor.author | Nattkemper, Tim W. | |
| dc.contributor.editor | Giegerich, Robert | |
| dc.contributor.editor | Hofestädt, Ralf | |
| dc.contributor.editor | Nattkemper, Tim W. | |
| dc.date.accessioned | 2017-07-26T14:12:12Z | |
| dc.date.available | 2017-07-26T14:12:12Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | 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. | en |
| dc.identifier.isbn | 978-3-88579-629-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | German conference on bioinformatics 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-235 | |
| dc.title | Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 53 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 44 | |
| gi.conference.date | 28. September - 1. October 2014 | |
| gi.conference.location | Bielefeld |
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