Biochemistry, Genetics, Computational biology, Immunology and Ricin are his primary areas of study. He interconnects Microfluidics, Total analysis system and Biochemical engineering in the investigation of issues within Biochemistry. His work is connected to Gene, Gene expression and Positional cloning, as a part of Genetics.
His work deals with themes such as Directed evolution, Directed Molecular Evolution and In silico, which intersect with Computational biology. Philip J. R. Day has included themes like Pneumococcal infections and Virology in his Immunology study. His Ricin research includes themes of Endoplasmic reticulum, Stereochemistry, Hydrogen bond and Protein folding.
Philip J. R. Day focuses on Computational biology, Gene, Molecular biology, Biochemistry and Gene expression. The various areas that Philip J. R. Day examines in his Computational biology study include Genetics, Aptamer, Bioinformatics, Directed evolution and Oligonucleotide. Particularly relevant to Housekeeping gene is his body of work in Gene.
His Molecular biology research also works with subjects such as
His primary scientific interests are in Transporter, Gene, Computational biology, Housekeeping gene and Gene expression. His Gene study deals with the bigger picture of Genetics. Philip J. R. Day has researched Computational biology in several fields, including Directed evolution and DNA.
His studies deal with areas such as Divergent evolution, Transcriptome, ATP-binding cassette transporter and Gene expression profiling as well as Housekeeping gene. His Gene expression profiling research is multidisciplinary, relying on both Disease, Pathology and Period. His Gene expression research includes elements of Cancer research, Downregulation and upregulation, Messenger RNA, microRNA and Inclusion body myositis.
The scientist’s investigation covers issues in Computational biology, Transporter, Pharmacology, Gene and Housekeeping gene. The Synthetic biology research he does as part of his general Computational biology study is frequently linked to other disciplines of science, such as Combinatorial explosion, therefore creating a link between diverse domains of science. His Pharmacology study incorporates themes from Metabolite, Neurodegeneration and Pathogenesis.
His work on Divergent evolution, Reference genes, Gene expression and Robustness is typically connected to Gini coefficient as part of general Gene study, connecting several disciplines of science. Human skin, Ageing and Disease is closely connected to Gene expression profiling in his research, which is encompassed under the umbrella topic of Reference genes. His Housekeeping gene research integrates issues from Normalization, Selection and ATP-binding cassette transporter.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A Physical Map of 30,000 Human Genes
P. Deloukas;G. D. Schuler;G. Gyapay;E. M. Beasley.
Miniaturised nucleic acid analysis
P.-A. Auroux;Y. Koc;A. deMello;A. Manz.
Lab on a Chip (2004)
Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently
Andrew Currin;Neil Swainston;Philip J. Day;Douglas B. Kell.
Chemical Society Reviews (2015)
Exploring the role of stem cells in cutaneous wound healing.
Katherine Lau;Ralf Paus;Stephan Tiede;Philip Day.
Experimental Dermatology (2009)
A radiation hybrid map of the rat genome containing 5,255 markers.
Takeshi K. Watanabe;Marie Therese Bihoreau;Linda C. McCarthy;Susanna L. Kiguwa.
Nature Genetics (1999)
The need for transparency and good practices in the qPCR literature
Stephen A. Bustin;Vladimir Benes;Jeremy A. Garson;Jan Hellemans.
Nature Methods (2013)
Total nucleic acid analysis integrated on microfluidic devices
Lin Chen;Andreas Manz;Philip J. R. Day;Philip J. R. Day.
Lab on a Chip (2007)
The low lysine content of ricin A chain reduces the risk of proteolytic degradation after translocation from the endoplasmic reticulum to the cytosol.
Emma D. Deeks;Jonathan P. Cook;Philip J. Day;Daniel C. Smith.
Quantitative Detection of Streptococcus pneumoniae in Nasopharyngeal Secretions by Real-Time PCR
Oliver Greiner;Philip J. R. Day;Philipp P. Bosshard;Fatime Imeri.
Journal of Clinical Microbiology (2001)
Polymerase chain reaction for detection of human cytomegalovirus infection in a blood donor population
I. S. Bevan;R. A. Daw;P. J. R. Day;F. A. Ala.
British Journal of Haematology (1991)
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