Nucleic Acids Research Advance Access originally published online on November 27, 2006
Nucleic Acids Research 2007 35(Database issue):D810-D814; doi:10.1093/nar/gkl1000
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Nucleic Acids Research, 2007, Vol. 35, Database issue D810-D814
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Organelle DB: an updated resource of eukaryotic protein localization and function
Department of Molecular, Cellular, and Developmental Biology and Life Sciences Institute, University of Michigan Ann Arbor, MI 48109-2216, USA
*To whom correspondence should be addressed. Tel: +1 734 647 8060; Fax: +1 734 647 9702; Email: anujk{at}umich.edu
Received September 14, 2006. Revised October 16, 2006. Accepted October 20, 2006.
Organelle DB (http://organelledb.lsi.umich.edu) is a web-accessible relational database presenting a supplemented catalog of organelle-localized proteins and major protein complexes. Since its release in 2004, Organelle DB has grown by 20% to encompass over 30 000 proteins from 138 eukaryotic organisms. Each protein in Organelle DB is presented with its subcellular localization, primary sequence and a detailed description of its function, as available. All records in Organelle DB have been annotated using controlled vocabulary from the Gene Ontology consortium. Protein localization data are inherently visual, and Organelle DB is a significant repository of biological images, housing 1500 micrographs of yeast cells carrying stained proteins. Furthermore, we report here the development of Organelle View, an extension of Organelle DB for the interactive visualization of organelles and subcellular structures in the budding yeast Saccharomyces cerevisiae. Organelle View offers a dimensional representation of a yeast cell; users can search Organelle View for proteins of interest, and the organelles housing these proteins will be highlighted in the cell image. Among other applications, Organelle View may serve as an educational aid engaging introductory biology students through a visually fun interface. Organelle View can be accessed from the Organelle DB home page or directly at http://organelleview.lsi.umich.edu.
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