title: Web2.0 paves new ways for collaborative and exploratory analysis of chemical compounds in spectrometry data.
abstract: 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.
authors.affiliation: Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany. cloyek@techfak.uni-bielefeld.de
authors.forename: Christian
authors.initials: C
authors.lastname: Loyek
authors.forename: Alexander
authors.initials: A
authors.lastname: Bunkowski
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Vautz
authors.forename: Tim W
authors.initials: TW
authors.lastname: Nattkemper
mesh_terms: D016208:Databases, Factual; D033181:Information Dissemination / Q000379:methods; D016247:Information Storage and Retrieval; D020407:Internet; D012984:Software; D013057:Spectrum Analysis / Q000379:methods*; D014584:User-Computer Interface