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research
Vacceed: A high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology
Authors
JT Ellis
SJ Goodswen
PJ Kennedy
Publication date
29 April 2014
Publisher
'Oxford University Press (OUP)'
Doi
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on
PubMed
Abstract
Summary: We present Vacceed, a highly configurable and scalable framework designed to automate the process of high-throughput in silico vaccine candidate discovery for eukaryotic pathogens. Given thousands of protein sequences from the target pathogen as input, the main output is a ranked list of protein candidates determined by a set of machine learning algorithms. Vacceed has the potential to save time and money by reducing the number of false candidates allocated for laboratory validation. Vacceed, if required, can also predict protein sequences from the pathogen's genome. © The Author 2014
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OPUS - University of Technology Sydney
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Last time updated on 13/02/2017