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Institution

University of Warwick

EducationCoventry, Warwickshire, United Kingdom
About: University of Warwick is a education organization based out in Coventry, Warwickshire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 26212 authors who have published 77127 publications receiving 2666552 citations. The organization is also known as: Warwick University & The University of Warwick.


Papers
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Journal ArticleDOI
TL;DR: Two bioinformatic tools enable sequence similarity network and phylogenetic analysis of gene clusters and their families across hundreds of strains and in large datasets, leading to the discovery of new natural products.
Abstract: Genome mining has become a key technology to exploit natural product diversity. Although initially performed on a single-genome basis, the process is now being scaled up to mine entire genera, strain collections and microbiomes. However, no bioinformatic framework is currently available for effectively analyzing datasets of this size and complexity. In the present study, a streamlined computational workflow is provided, consisting of two new software tools: the ‘biosynthetic gene similarity clustering and prospecting engine’ (BiG-SCAPE), which facilitates fast and interactive sequence similarity network analysis of biosynthetic gene clusters and gene cluster families; and the ‘core analysis of syntenic orthologues to prioritize natural product gene clusters’ (CORASON), which elucidates phylogenetic relationships within and across these families. BiG-SCAPE is validated by correlating its output to metabolomic data across 363 actinobacterial strains and the discovery potential of CORASON is demonstrated by comprehensively mapping biosynthetic diversity across a range of detoxin/rimosamide-related gene cluster families, culminating in the characterization of seven detoxin analogues. Two bioinformatic tools, BiG-SCAPE and CORASON, enable sequence similarity network and phylogenetic analysis of gene clusters and their families across hundreds of strains and in large datasets, leading to the discovery of new natural products.

423 citations

Journal ArticleDOI
TL;DR: The model provides a new conceptual framework for the plant clock that includes a three‐component repressilator circuit in its complex structure, and removes the necessity for the unknown component X (or TOC1mod) from previous clock models.
Abstract: Circadian clocks synchronise biological processes with the day/night cycle, using molecular mechanisms that include interlocked, transcriptional feedback loops. Recent experiments identified the evening complex (EC) as a repressor that can be essential for gene expression rhythms in plants. Integrating the EC components in this role significantly alters our mechanistic, mathematical model of the clock gene circuit. Negative autoregulation of the EC genes constitutes the clock's evening loop, replacing the hypothetical component Y. The EC explains our earlier conjecture that the morning gene Pseudo-Response Regulator 9 was repressed by an evening gene, previously identified with Timing Of CAB Expression1 (TOC1). Our computational analysis suggests that TOC1 is a repressor of the morning genes Late Elongated Hypocotyl and Circadian Clock Associated1 rather than an activator as first conceived. This removes the necessity for the unknown component X (or TOC1mod) from previous clock models. As well as matching timeseries and phase-response data, the model provides a new conceptual framework for the plant clock that includes a three-component repressilator circuit in its complex structure.

423 citations

Journal ArticleDOI
TL;DR: In simulations of a 10 PW laser striking a solid, the possibility of producing a pure electron-positron plasma by the same processes as those thought to operate in high-energy astrophysical environments is demonstrated.
Abstract: In simulations of a 10 PW laser striking a solid, we demonstrate the possibility of producing a pure electron-positron plasma by the same processes as those thought to operate in high-energy astrophysical environments. A maximum positron density of ${10}^{26}\text{ }\text{ }{\mathrm{m}}^{\ensuremath{-}3}$ can be achieved, 7 orders of magnitude greater than achieved in previous experiments. Additionally, $35%$ of the laser energy is converted to a burst of $\ensuremath{\gamma}$ rays of intensity ${10}^{22}\text{ }\text{ }\mathrm{W}\text{ }{\mathrm{cm}}^{\ensuremath{-}2}$, potentially the most intense $\ensuremath{\gamma}$-ray source available in the laboratory. This absorption results in a strong feedback between both pair and $\ensuremath{\gamma}$-ray production and classical plasma physics in the new ``QED-plasma'' regime.

422 citations

Journal ArticleDOI
TL;DR: In this paper, a new test for rent-sharing in the U.S. labor market is proposed, and it is shown that a rise in a sector's profitability leads after some years to an increase in the long-run level of wages in that sector.
Abstract: The paper suggests a new test for rent-sharing in the U.S. labor market. Using an unbalanced panel from the manufacturing sector, it shows that a rise in a sector's profitability leads after some years to an increase in the long-run level of wages in that sector. The paper controls for workers' characteristics, for industry fixed-effects, and for unionism. Lester's range of wages is estimated, for rent-sharing reasons alone, at approximately 24 per cent of the mean wage.

421 citations

Journal ArticleDOI
TL;DR: This paper presents a review of the Internet-of-Things through four conceptualizations: IoT as liquification and density of information of resources; IoT as digital materiality%; IoT as assemblage or service system; and IoT as modules, transactions, and service.

421 citations


Authors

Showing all 26659 results

NameH-indexPapersCitations
David Miller2032573204840
Daniel R. Weinberger177879128450
Kay-Tee Khaw1741389138782
Joseph E. Stiglitz1641142152469
Edmund T. Rolls15361277928
Thomas J. Smith1401775113919
Tim Jones135131491422
Ian Ford13467885769
Paul Harrison133140080539
Sinead Farrington133142291099
Peter Hall132164085019
Paul Brennan132122172748
G. T. Jones13186475491
Peter Simmonds13182362953
Tim Martin12987882390
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023195
2022734
20214,817
20204,927
20194,602
20184,132