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Andrew Harrison

Researcher at University of Essex

Publications -  185
Citations -  6590

Andrew Harrison is an academic researcher from University of Essex. The author has contributed to research in topics: Antiferromagnetism & Gene. The author has an hindex of 42, co-authored 172 publications receiving 6080 citations. Previous affiliations of Andrew Harrison include Birkbeck, University of London & Wellcome Trust/Cancer Research UK Gurdon Institute.

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Modern microwave methods in solid-state inorganic materials chemistry: from fundamentals to manufacturing.

TL;DR: Chemistry: From Fundamentals to Manufacturing Helen J. Kitchen, Simon R. Vallance, Nuria Tapia-Ruiz,† Lucia Carassiti,† Andrew Harrison, A. Gavin Whittaker, Timothy D. Kingman,‡ and Duncan H. Gregory are authors of this book.
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Quantum magnetism in the paratacamite family: towards an ideal kagomé lattice.

TL;DR: In this paper, the authors report muon spin rotation measurements on the paratacamite and find that the limit between a dynamical and a partly frozen ground state occurs around $x=0.5.
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The CATH Domain Structure Database and related resources Gene3D and DHS provide comprehensive domain family information for genome analysis

TL;DR: The CATH database of protein domain structures currently contains 43 229 domains classified into 1467 superfamilies and 5107 sequence families is expanded with sequence relatives from GenBank and completed genomes, using a variety of efficient sequence search protocols and reliable thresholds.
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The CATH database: an extended protein family resource for structural and functional genomics

TL;DR: The philosophy behind CATHEDRAL is the recognition of recurrent folds already classified in CATH, which will help to increase the frequency of CATH updates and adaptation of a recently developed method for rapid structure comparison for domain boundary assignment.
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Assigning genomic sequences to CATH.

TL;DR: The CATH Dictionary of Homologous Superfamilies (DHS), which contains validated multiple structural alignments annotated with consensus functional information for evolutionary protein superfamilies, has been updated to include annotations associated with sequence relatives identified in GenBank.