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CellMap visualizes protein-protein interactions and subcellular localization [version 1; referees: 1 approved, 1 approved with reservations]

Authors :
Christian Dallago
Tatyana Goldberg
Miguel Angel Andrade-Navarro
Gregorio Alanis-Lobato
Burkhard Rost
Author Affiliations :
<relatesTo>1</relatesTo>Department of Informatics, Bioinformatics & Computational Biology , TUM (Technical University of Munich), Munich, Germany<br /><relatesTo>2</relatesTo>Center for Doctoral Studies in Informatics and its Applications (CeDoSIA), TUM (Technical University of Munich) Graduate School, Munich, Germany<br /><relatesTo>3</relatesTo>Faculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany<br /><relatesTo>4</relatesTo>Department of Biochemistry and Molecular Biophysics, Columbia University, New York City, NY, USA<br /><relatesTo>5</relatesTo>Institute for Food and Plant Sciences WZW, Freising, Germany<br /><relatesTo>6</relatesTo>Institute for Advanced Study (TUM-IAS), Munich, Germany
Source :
F1000Research. 6:1824
Publication Year :
2017
Publisher :
London, UK: F1000 Research Limited, 2017.

Abstract

Many tools visualize protein-protein interaction (PPI) networks. The tool introduced here, CellMap, adds one crucial novelty by visualizing PPI networks in the context of subcellular localization, i.e. the location in the cell or cellular component in which a PPI happens. Users can upload images of cells and define areas of interest against which PPIs for selected proteins are displayed (by default on a cartoon of a cell). Annotations of localization are provided by the user or through our in-house database. The visualizer and server are written in JavaScript, making CellMap easy to customize and to extend by researchers and developers.

Details

ISSN :
20461402
Volume :
6
Database :
F1000Research
Journal :
F1000Research
Notes :
[version 1; referees: 1 approved, 1 approved with reservations]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.12707.1
Document Type :
software-tool
Full Text :
https://doi.org/10.12688/f1000research.12707.1