SLocX: Predicting subcellular localization of Arabidopsis proteins leveraging gene expression data

SLocX: Predicting subcellular localization of Arabidopsis proteins leveraging gene expression data

Despite the growing volume of experimentally validated knowledge about the subcellular localization of plant proteins, a well performing in-silico prediction tool is still a necessity. Existing tools, which employ information derived from protein sequence alone, offer limited accuracy and/or rely on...

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Bibliographic Details
Main Authors: Malgorzata eRyngajllo, Liam eChilds, Marc eLohse, Federico M Giorgi, Anja eLude, Joachim eSelbig, Bjoern eUsadel
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-09-01
Series:Frontiers in Plant Science
Subjects:
Gene Expression
prediction
Subcellular localization
Support vector machine
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2011.00043/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpls.2011.00043/full

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