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BY-NC-ND 4.0 license Open Access Published by De Gruyter October 18, 2016

Web2.0 paves new ways for collaborative and exploratory analysis of Chemical Compounds in Spectrometry Data

  • Christian Loyek EMAIL logo , Alexander Bunkowski , Wolfgang Vautz and Tim W. Nattkemper


In nowadays life science projects, sharing data and data interpretation is becoming increasingly important. This considerably calls for novel information technology approaches, which enable the integration of expert knowledge from different disciplines in combination with advanced data analysis facilities in a collaborative manner. Since the recent development of web technologies offers scientific communities new ways for cooperation and communication, we propose a fully web-based software approach for the collaborative analysis of bioimage data and demonstrate the applicability of Web2.0 techniques to ion mobility spectrometry image data. Our approach allows collaborating experts to easily share, explore and discuss complex image data without any installation of software packages. Scientists only need a username and a password to get access to our system and can directly start exploring and analyzing their data.

Published Online: 2016-10-18
Published in Print: 2011-6-1

© 2011 The Author(s). Published by Journal of Integrative Bioinformatics.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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