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Bioinformatics (Oxford, England)
|
May 3, 2014
Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Parasites & Vectors
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March 7, 2025
Diagnostic dilemma: application of real-time PCR assays for the detection of Dientamoeba fragilis in medical and veterinary specimens
Luke M Hall, John T Ellis, Damien J Stark
International Journal for Parasitology
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September 13, 2017
On the application of reverse vaccinology to parasitic diseases: a perspective on feature selection and ranking of vaccine candidates
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Plos One
|
December 30, 2014
Enhancing in silico protein-based vaccine discovery for eukaryotic pathogens using predicted peptide-MHC binding and peptide conservation scores
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Trends in Parasitology
|
October 16, 2002
Neospora caninum: a cause of immune-mediated failure of pregnancy?
Helen E Quinn, John T Ellis, Nicholas C Smith
Trends in Parasitology
|
July 17, 2014
Discovering a vaccine against neosporosis using computers: is it feasible?
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Journal of Medical Microbiology
|
January 12, 2026
<i>Dientamoeba fragilis</i>: a story of contradictions
Luke M Hall, John T Ellis, Damien J Stark
FEMS Microbiology Reviews
|
February 22, 2023
A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Scientific Reports
|
May 22, 2023
A state-of-the-art methodology for high-throughput in silico vaccine discovery against protozoan parasites and exemplified with discovered candidates for Toxoplasma gondii
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Scientific Reports
|
June 21, 2022
Compilation of parasitic immunogenic proteins from 30 years of published research using machine learning and natural language processing
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Page
of 7
Search research articles
Search
Showing results (11-20 of 61) with videos related to
Sort By:
Page
of 7
Bioinformatics (Oxford, England)
|
May 3, 2014
Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Parasites & Vectors
|
March 7, 2025
Diagnostic dilemma: application of real-time PCR assays for the detection of Dientamoeba fragilis in medical and veterinary specimens
Luke M Hall, John T Ellis, Damien J Stark
International Journal for Parasitology
|
September 13, 2017
On the application of reverse vaccinology to parasitic diseases: a perspective on feature selection and ranking of vaccine candidates
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Plos One
|
December 30, 2014
Enhancing in silico protein-based vaccine discovery for eukaryotic pathogens using predicted peptide-MHC binding and peptide conservation scores
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Trends in Parasitology
|
October 16, 2002
Neospora caninum: a cause of immune-mediated failure of pregnancy?
Helen E Quinn, John T Ellis, Nicholas C Smith
Trends in Parasitology
|
July 17, 2014
Discovering a vaccine against neosporosis using computers: is it feasible?
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Journal of Medical Microbiology
|
January 12, 2026
<i>Dientamoeba fragilis</i>: a story of contradictions
Luke M Hall, John T Ellis, Damien J Stark
FEMS Microbiology Reviews
|
February 22, 2023
A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Scientific Reports
|
May 22, 2023
A state-of-the-art methodology for high-throughput in silico vaccine discovery against protozoan parasites and exemplified with discovered candidates for Toxoplasma gondii
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Scientific Reports
|
June 21, 2022
Compilation of parasitic immunogenic proteins from 30 years of published research using machine learning and natural language processing
Stephen J Goodswen, Paul J Kennedy, John T Ellis
Page
of 7