His Linguistics research extends to the thematically linked field of Composition (language). His research is interdisciplinary, bridging the disciplines of Composition (language) and Linguistics. David H. Wyllie connects Animal science with Food science in his study. His study connects Starter and Food science. He conducted interdisciplinary study in his works that combined Bacteria and Multilocus sequence typing. His work blends Multilocus sequence typing and Bacteria studies together. Many of his studies on Epidemiology apply to Internal medicine as well. His Internal medicine study frequently links to adjacent areas such as Epidemiology. He performs integrative study on Gene and Molecular epidemiology.
David H. Wyllie is involved in relevant fields of research such as Grease and Corrosion in the realm of Composite material. Grease is often connected to Composite material in his work. Much of his study explores Corrosion relationship to Metallurgy. As part of his studies on Metallurgy, David H. Wyllie often connects relevant subjects like Mineral oil. His work in Genetics is not limited to one particular discipline; it also encompasses Genetic correlation. Genetic correlation is closely attributed to Genetics in his work. David H. Wyllie integrates Internal medicine with Pediatrics in his study. He performs integrative study on Pediatrics and Internal medicine in his works. He performs multidisciplinary study in the fields of Animal science and Food science via his papers.
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Erratum: Corrigendum: The blood-stage malaria antigen PfRH5 is susceptible to vaccine-inducible cross-strain neutralizing antibody
A D Douglas;A R Williams;J J Illingworth;G Kamuyu.
Nature Communications (2013)
Regulation of Toll-like receptors in human monocytes and dendritic cells.
Alberto Visintin;Alessandra Mazzoni;Jessica H. Spitzer;David H. Wyllie.
Journal of Immunology (2001)
Diverse Sources of C. difficile Infection Identified on Whole-Genome Sequencing
D W Eyre;M L Cule;D J Wilson;D Griffiths.
The New England Journal of Medicine (2013)
Correction: Corrigendum: Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis
Phelim Bradley;N. Claire Gordon;Timothy M. Walker;Laura Dunn.
Nature Communications (2016)
Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis.
P Bradley;N C Gordon;T M Walker;L Dunn.
Nature Communications (2015)
Evidence for an Accessory Protein Function for Toll-Like Receptor 1 in Anti-Bacterial Responses
D. H. Wyllie;E. Kiss-Toth;A. Visintin;S. C. Smith.
Journal of Immunology (2000)
Single nucleotide polymorphisms in the human interleukin-1B gene affect transcription according to haplotype context
Hongmin Chen;Leon M. Wilkins;Nazneen Aziz;Christopher Cannings.
Human Molecular Genetics (2006)
Rapid, comprehensive, and affordable mycobacterial diagnosis with whole-genome sequencing: a prospective study
Louise J Pankhurst;Carlos del Ojo Elias;Antonina A Votintseva;Timothy M Walker.
The Lancet Respiratory Medicine (2016)
Same-Day Diagnostic and Surveillance Data for Tuberculosis via Whole-Genome Sequencing of Direct Respiratory Samples.
Antonina A. Votintseva;Phelim Bradley;Louise Pankhurst;Carlos del Ojo Elias.
Journal of Clinical Microbiology (2017)
Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing.
Caroline Allix-Béguec;Irena Arandjelovic.
The New England Journal of Medicine (2018)
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