Abstract
Full sets of proteins that are transported to the extracellular space, called secretomes, have been studied for a variety of organisms to understand their potential role in crucial metabolic pathways and complex health conditions. However, there is a lack of tools for integrative classical analysis of secretomes that consider all the data sources available nowadays. Thus, PECAS (Prokaryotic and Eukaryotic Classical Analysis of Secretome) has been developed to provide a well-established prediction pipeline on secreted proteins for prokaryote and eukaryote species.
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Acknowledgments
We thank J. Ferrero for his advice with Perl/CGI scripting and I. Lázaro for the webpage’s illustrations. ARC, AMA, JLL, and the research expenses are supported by the Basque Country Government (Etortek Research Programs 2011/2014) and by the Innovation Technology Dept. of Bizkaia. JAO was supported by research project AGL2011-30495 of the Spanish National Research Plan and received additional support from the Public University of Navarre.
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Handling Editor: P. R. Jungblut.
PECAS is freely available at: http://web.bioinformatics.cicbiogune.es/PECAS/index.php.
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Cortazar, A.R., Oguiza, J.A., Aransay, A.M. et al. PECAS: prokaryotic and eukaryotic classical analysis of secretome. Amino Acids 47, 2659–2663 (2015). https://doi.org/10.1007/s00726-015-2058-2
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DOI: https://doi.org/10.1007/s00726-015-2058-2