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MASCP Gator: An Aggregation Portal for the Visualization of Arabidopsis Proteomics Data1[C][OA]

By Hiren J. Joshi, Matthias Hirsch-Hoffmann, Katja Baerenfaller, Wilhelm Gruissem, Sacha Baginsky, Robert Schmidt, Waltraud X. Schulze, Qi Sun, Klaas J. van Wijk, Volker Egelhofer, Stefanie Wienkoop, Wolfram Weckwerth, Christophe Bruley, Norbert Rolland, Tetsuro Toyoda, Hirofumi Nakagami, Alexandra M. Jones, Steven P. Briggs, Ian Castleden, Sandra K. Tanz, A. Harvey Millar and Joshua L. Heazlewood

Abstract

Proteomics has become a critical tool in the functional understanding of plant processes at the molecular level. Proteomics-based studies have also contributed to the ever-expanding array of data in modern biology, with many generating Web portals and online resources that contain incrementally expanding and updated information. Many of these resources reflect specialist research areas with significant and novel information that is not currently captured by centralized repositories. The Arabidopsis (Arabidopsis thaliana) community is well served by a number of online proteomics resources that hold an abundance of functional information. These sites can be difficult to locate among a multitude of online resources. Furthermore, they can be difficult to navigate in order to identify specific features of interest without significant technical knowledge. Recently, members of the Arabidopsis proteomics community involved in developing many of these resources decided to develop a summary aggregation portal that is capable of retrieving proteomics data from a series of online resources on the fly. The Web portal is known as the MASCP Gator and can be accessed at the following address: http://gator.masc-proteomics.org/. Significantly, proteomics data displayed at this site retrieve information from the data repositories upon each request. This means that information is always up to date and displays the latest data sets. The site also provides hyperlinks back to the source information hosted at each of the curated databases to facilitate more in-depth analysis of the primary data

Topics: Bioinformatics
Publisher: American Society of Plant Biologists
OAI identifier: oai:pubmedcentral.nih.gov:3075751
Provided by: PubMed Central
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