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Anita C. Schürch
Researcher at Utrecht University
Publications - 60
Citations - 2689
Anita C. Schürch is an academic researcher from Utrecht University. The author has contributed to research in topics: Genome & Mycobacterium tuberculosis. The author has an hindex of 26, co-authored 56 publications receiving 2065 citations. Previous affiliations of Anita C. Schürch include Radboud University Nijmegen & Erasmus University Rotterdam.
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Journal ArticleDOI
Whole genome sequencing options for bacterial strain typing and epidemiologic analysis based on single nucleotide polymorphism versus gene-by-gene–based approaches
TL;DR: This minireview describes methodologic approaches that have been explored for WGS-based epidemiologic analysis and considers the challenges and pitfalls of data interpretation.
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CRISPR/Cas9-Mediated Genome Editing of Herpesviruses Limits Productive and Latent Infections.
Ferdy R. van Diemen,Elisabeth Kruse,Marjolein J. G. Hooykaas,Carlijn E. Bruggeling,Anita C. Schürch,Petra M. van Ham,Saskia M. Imhof,Monique Nijhuis,Emmanuel J. H. J. Wiertz,Robert Jan Lebbink +9 more
TL;DR: These studies indicate that the CRISPR/Cas9 system can be effectively targeted to herpesvirus genomes as a potent prophylactic and therapeutic anti-viral strategy that may be used to impair viral replication and clear latent virus infection.
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On the (im)possibility of reconstructing plasmids from whole-genome short-read sequencing data.
Sergio Arredondo-Alonso,Rob J. L. Willems,Willem van Schaik,Willem van Schaik,Anita C. Schürch +4 more
TL;DR: This study shows that it is possible to automatically predict small plasmids, and benchmark algorithms for automated plasmid sequence reconstruction from short-read sequencing data had the highest precision, but was restricted by the contents of its database and the contig length obtained from de novo assembly.
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Inferring patient to patient transmission of Mycobacterium tuberculosis from whole genome sequencing data.
Josephine M. Bryant,Anita C. Schürch,Anita C. Schürch,Henk van Deutekom,Simon R. Harris,Jessica L. de Beer,Victor de Jager,Victor de Jager,Kristin Kremer,Sacha A. F. T. van Hijum,Sacha A. F. T. van Hijum,Roland J. Siezen,Roland J. Siezen,Martien W. Borgdorff,Stephen D. Bentley,Julian Parkhill,Dick van Soolingen +16 more
TL;DR: This in-depth analysis of the molecular clock revealed that it is slow and variable over short time scales, which limits its usefulness in transmission studies, but the investigation of tuberculosis transmission will benefit greatly from routine whole genome sequencing.
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mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single species
Sergio Arredondo-Alonso,Malbert R. C. Rogers,Johanna C. Braat,Tess D. Verschuuren,Janetta Top,Jukka Corander,Jukka Corander,Jukka Corander,Rob J. L. Willems,Anita C. Schürch +9 more
TL;DR: Support-vector machine (SVM) models were selected as the best classifier for all three bacterial species and outperformed other existing plasmid prediction tools using a benchmarking set of isolates, demonstrating the scalability of the models and their applicability.