Stephen J. Goodswen

发表

A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2013, BMC Bioinformatics.

Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2014, Bioinform..

FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases

Stephen J. Goodswen, Cedric Gondro, Haja N. Kadarmideen, 2010, BMC Bioinformatics.

A guide to in silico vaccine discovery for eukaryotic pathogens

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2013, Briefings Bioinform..

A Gene-Based Positive Selection Detection Approach to Identify Vaccine Candidates Using Toxoplasma gondii as a Test Case Protozoan Pathogen

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2018, Front. Genet..

Evaluating High-Throughput Ab Initio Gene Finders to Discover Proteins Encoded in Eukaryotic Pathogen Genomes Missed by Laboratory Techniques

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2012, PloS one.

Enhancing In Silico Protein-Based Vaccine Discovery for Eukaryotic Pathogens Using Predicted Peptide-MHC Binding and Peptide Conservation Scores

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2014, PloS one.

On the application of reverse vaccinology to parasitic diseases: a perspective on feature selection and ranking of vaccine candidates.

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2017, International journal for parasitology.

Improving the gene structure annotation of the apicomplexan parasite Neospora caninum fulfils a vital requirement towards an in silico-derived vaccine.

Paul J. Kennedy, Stephen J. Goodswen, J. Barratt, 2015, International journal for parasitology.

Discovering a vaccine against neosporosis using computers: is it feasible?

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2014, Trends in parasitology.

The Core Mouse Response to Infection by Neospora Caninum Defined by Gene Set Enrichment Analyses

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2012, Bioinformatics and biology insights.

SNPpattern: A Genetic Tool to Derive Haplotype Blocks and Measure Genomic Diversity in Populations Using SNP Genotypes

Stephen J. Goodswen, H. Kadarmideen, 2011 .

Compilation of parasitic immunogenic proteins from 30 years of published research using machine learning and natural language processing

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2022, Scientific Reports.

Machine learning and applications in microbiology

Paul J. Kennedy, Stephen J. Goodswen, Larissa Calarco, 2021, FEMS microbiology reviews.

A review of the infection, genetics, and evolution of Neospora caninum: from the past to the present.

Paul J. Kennedy, Stephen J. Goodswen, Paul J Kennedy, 2013, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Applying Machine Learning to Predict the Exportome of Bovine and Canine Babesia Species That Cause Babesiosis

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2021, Pathogens.

Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2021, Frontiers in Genetics.

Computational Antigen Discovery for Eukaryotic Pathogens Using Vacceed.

Paul J. Kennedy, Stephen J. Goodswen, Paul J Kennedy, 2021, Methods in molecular biology.

A state-of-the-art methodology for high-throughput in silico vaccine discovery against protozoan parasites and exemplified with discovered candidates for Toxoplasma gondii

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2023, Scientific reports.

A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery.

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2023, FEMS microbiology reviews.