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Nucleic Acids Research 2005 33(Web Server Issue):W198-W201; doi:10.1093/nar/gki440
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© The Author 2005. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oupjournals.org

Article

TRAMPLE: the transmembrane protein labelling environment

Piero Fariselli, Michele Finelli1, Ivan Rossi1, Mauro Amico1, Andrea Zauli1, Pier Luigi Martelli and Rita Casadio*

Laboratory of Biocomputing, CIRB/Department of Biology, University of Bologna via Irnerio 42, I-40126 Bologna, Italy 1BioDec S.r.l., Almacube via Fanin 48, I-40127 Bologna, Italy

*To whom correspondence should be addressed. Tel: +39 051 2094005; Fax: +39 051 242576; Email: casadio{at}kaiser.alma.unibo.it

Received February 11, 2005. Revised March 30, 2005. Accepted March 30, 2005.

TRAMPLE (http://gpcr.biocomp.unibo.it/biodec/) is a web application server dedicated to the detection and the annotation of transmembrane protein sequences. TRAMPLE includes different state-of-the-art algorithms for the prediction of signal peptides, transmembrane segments (both beta-strands and alpha-helices), secondary structure and fast fold recognition. TRAMPLE also includes a complete content management system to manage the results of the predictions. Each user of the server has his/her own workplace, where the data can be stored, organized, accessed and annotated with documents through a simple web-based interface. In this manner, TRAMPLE significantly improves usability with respect to other more traditional web servers.


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