D
Douglas B. Kell
Researcher at University of Liverpool
Publications - 657
Citations - 55792
Douglas B. Kell is an academic researcher from University of Liverpool. The author has contributed to research in topics: Systems biology & Dielectric. The author has an hindex of 111, co-authored 634 publications receiving 50335 citations. Previous affiliations of Douglas B. Kell include Max Planck Society & University of Wales.
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Wavelet Denoising of Infrared Spectra
TL;DR: The application of wavelet denoising to infrared spectra was investigated in this article, where six different wavelet methods (SURE, VISU, HYBRID, MINMAX, MAD, and WAVELET PACKETS) were applied to pure infrared spectrum with various levels of homo- and heteroscedastic noise.
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An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals
Pablo Carbonell,Adrian J. Jervis,Christopher J. Robinson,Cunyu Yan,Mark S. Dunstan,Neil Swainston,Maria Vinaixa,Katherine A. Hollywood,Andrew Currin,Nicholas J. W. Rattray,Sandra Taylor,Reynard Spiess,Rehana Sung,Alan Williams,Donal Fellows,Natalie J. Stanford,Paul Mulherin,Rosalind Le Feuvre,Perdita E. Barran,Royston Goodacre,Nicholas J. Turner,Carole Goble,George Guo-Qiang Chen,George Guo-Qiang Chen,Douglas B. Kell,Jason Micklefield,Rainer Breitling,Eriko Takano,Jean-Loup Faulon,Jean-Loup Faulon,Nigel S. Scrutton +30 more
TL;DR: An automated pipeline for the discovery and optimization of biosynthetic pathways for microbial production of fine chemicals is presented and application of the pipeline to optimize an alkaloids pathway demonstrates how it could facilitate the rapid optimization of microbial strains for production of any chemical compound of interest.
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Metabolomics, modelling and machine learning in systems biology -;towards an understanding of the languages of cells
TL;DR: The newly emerging field of systems biology involves a judicious interplay between high‐throughput ‘wet’ experimentation, computational modelling and technology development, coupled to the world of ideas and theory, such that systems biology is not at all confined to hypothesis‐dependent studies, with intelligent, principled, hypothesis‐generating studies of high importance and consequently very far from aimless fishing expeditions.
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Influence of Viable Cells on the Resuscitation of Dormant Cells in Micrococcus luteus Cultures Held in an Extended Stationary Phase: the Population Effect
TL;DR: It is concluded that the presence of a small fraction of viable cells at the onset of resuscitation facilitates the recovery of the majority of the remaining (dormant) cells.
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Improving metabolic flux predictions using absolute gene expression data
Dave Lee,Kieran Smallbone,Warwick B. Dunn,Ettore Murabito,Catherine L. Winder,Douglas B. Kell,Pedro Mendes,Pedro Mendes,Neil Swainston +8 more
TL;DR: Using quantitative transcriptomics data acquired from Saccharomyces cerevisiae cultures under two growth conditions, the method outperforms traditional approaches for predicting experimentally measured exometabolic flux that are reliant upon maximisation of the rate of biomass production.