2012 - Fellow of the American Association for the Advancement of Science (AAAS)
2004 - Interdisciplinary Prize, Royal Society of Chemistry (UK)
Douglas B. Kell spends much of his time researching Metabolomics, Systems biology, Microbiology, Bioinformatics and Computational biology. His studies deal with areas such as Metabolite, Phenotype, Metabolic network and Artificial intelligence as well as Metabolomics. He has researched Metabolite in several fields, including Chromatography, Mass spectrometry and Disease.
His research in Systems biology intersects with topics in Theoretical computer science, BioModels Database, SBML, Transcriptome and Biological system. Douglas B. Kell has included themes like Micrococcus luteus, Escherichia coli, Autocrine signalling and Bacteria in his Microbiology study. His Bioinformatics study which covers Data science that intersects with Text mining.
The scientist’s investigation covers issues in Biochemistry, Computational biology, Artificial intelligence, Systems biology and Analytical chemistry. His Biochemistry study incorporates themes from Biophysics and Bacteria. Computational biology and Metabolomics are frequently intertwined in his study.
His study in Metabolomics focuses on Metabolome in particular. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. His Systems biology study is concerned with the field of Bioinformatics as a whole.
His main research concerns Fibrin, Immunology, Biochemistry, Amyloid and Transporter. His Fibrin study combines topics from a wide range of disciplines, such as Platelet-poor plasma, Inflammation, Fibrinogen, Coagulation and Platelet. His work in Immunology tackles topics such as Microbiome which are related to areas like Molecular mechanism, Alzheimer type dementia, LPS-binding protein and Programmed cell death.
His research integrates issues of Blood serum and Function in his study of Biochemistry. His study in Divergent evolution is interdisciplinary in nature, drawing from both Housekeeping gene and Computational biology. His studies in Internal medicine integrate themes in fields like Diabetes mellitus, Metabolomics and Text mining.
Immunology, Amyloid, Fibrinogen, Fibrin and Computational biology are his primary areas of study. His work carried out in the field of Immunology brings together such families of science as Microbiome and Bacteroidetes. In his work, Parkinson's disease and Thioflavin is strongly intertwined with Lipopolysaccharide, which is a subfield of Amyloid.
His Fibrinogen research is multidisciplinary, incorporating elements of Platelet and Coagulation. His Computational biology research is multidisciplinary, relying on both Housekeeping gene, Gene and Selection. Douglas B. Kell interconnects Biochemistry and Bacteria in the investigation of issues within Staining.
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.
Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry
Warwick B Dunn;David Broadhurst;David Broadhurst;Paul Begley;Eva Zelena.
Nature Protocols (2011)
Systematic functional analysis of the yeast genome
Stephen G. Oliver;Michael K. Winson;Douglas B. Kell;Frank Baganz.
Trends in Biotechnology (1998)
Metabolomics by numbers: acquiring and understanding global metabolite data.
Royston Goodacre;Seetharaman Vaidyanathan;Warwick B. Dunn;George G. Harrigan.
Trends in Biotechnology (2004)
Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression
D. E. Nelson;A. E. C. Ihekwaba;M. Elliott;J. R. Johnson.
Science (2004)
A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
Léonie M. Raamsdonk;Bas Teusink;David Broadhurst;Nianshu Zhang.
Nature Biotechnology (2001)
Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.
H M Davey;D B Kell.
Microbiological Research (1996)
Computational cluster validation in post-genomic data analysis
Julia Handl;Joshua Knowles;Douglas B. Kell.
Bioinformatics (2005)
A community-driven global reconstruction of human metabolism
Ines Thiele;Neil Swainston;Ronan M T Fleming;Andreas Hoppe.
Nature Biotechnology (2013)
The passive electrical properties of biological systems: their significance in physiology, biophysics and biotechnology
R Pethig;D B Kell.
Physics in Medicine and Biology (1987)
The Systems Biology Graphical Notation
Nicolas Le Novere;Michael Hucka;Huaiyu Mi;Stuart Moodie.
Nature Biotechnology (2009)
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