The protein information and property explorer: an easy-to-use, rich-client web application for the management and functional analysis of proteomic data

Hector Ramos; Paul Shannon; Ruedi Aebersold

doi:10.1093/bioinformatics/btn363

Abstract

Abstract Motivation: Mass spectrometry experiments in the field of proteomics produce lists containing tens to thousands of identified proteins. With the protein information and property explorer (PIPE), the biologist can acquire functional annotations for these proteins and explore the enrichment of the list, or fraction thereof, with respect to functional classes. These protein lists may be saved for access at a later time or different location. The PIPE is interoperable with the Firegoose and the Gaggle, permitting wide-ranging data exploration and analysis. The PIPE is a rich-client web application which uses AJAX capabilities provided by the Google Web Toolkit, and server-side data storage using Hibernate. Availability: http://pipe.systemsbiology.net Contact: pshannon@systemsbiology.org

Keywords

Computer scienceInteroperabilityWeb applicationAjaxWorld Wide WebProperty (philosophy)DatabaseField (mathematics)Web serverThe Internet

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Publication Info

Year: 2008
Type: article
Volume: 24
Issue: 18
Pages: 2110-2111
Citations: 32
Access: Closed

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APA Style

                            
                                    Hector Ramos, 
                                
                                    Paul Shannon, 
                                
                                    Ruedi Aebersold
                                
                            (2008). 
                            The protein information and property explorer: an easy-to-use, rich-client web application for the management and functional analysis of proteomic data. 
                            Bioinformatics
                            , 24
                            (18)
                            , 2110-2111.
                            https://doi.org/10.1093/bioinformatics/btn363

Identifiers

DOI: 10.1093/bioinformatics/btn363