Gregor Rot and Anup Parikh and Tomaz Curk and Adam Kuspa and Gad Shaulsky and Blaz Zupan (2009) dictyExpress: a Dictyostelium discoideum gene expression database with an explorative data analysis web-based interface. BMC Bioinformatics, 10 . p. 265.
Abstract
BACKGROUND. Bioinformatics often leverages on recent advancements in computer science to support biologists in their scientific discovery process. Such efforts include the development of easy-to-use web interfaces to biomedical databases. Recent advancements in interactive web technologies require us to rethink the standard submit-and-wait paradigm, and craft bioinformatics web applications that share analytical and interactive power with their desktop relatives, while retaining simplicity and availability. RESULTS. We have developed dictyExpress, a database that consists of more than 1000 Dictyostelium discoideum gene expression experiments and features a graphical, highly-interactive, explorative web interface. In dictyExpress, the user can select experiments and genes, perform gene clustering, view gene expression profiles across time, view gene co-expression networks, and perform analyses of Gene Ontology term enrichment. Most importantly, these tasks are achieved through web applications whose components are seamlessly interlinked and immediately respond to events triggered by the user, thus providing a powerful explorative data analysis environment. CONCLUSION. dictyExpress is a precursor for a new generation of web-based bioinformatics applications with simple but powerful interactive interfaces that resemble that of the modern desktop. While dictyExpress serves mainly the Dictyostelium research community, it is relatively easy to adapt it to other datasets. We propose that the design ideas behind dictyExpress will influence the development of similar applications for other model organisms.
Item Type: | Article |
Keywords: | gene expression, data mining, dictyostelium, gene networks, explorative analysis, visualization, software |
Related URLs: | |
Institution: | University of Ljubljana |
Department: | Faculty of Computer and Information Science |
Divisions: | Faculty of Computer and Information Science > Artificial Intelligence Laboratory |
Item ID: | 899 |
Date Deposited: | 27 Aug 2009 09:13 |
Last Modified: | 05 Dec 2013 14:34 |
URI: | http://eprints.fri.uni-lj.si/id/eprint/899 |
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